ASUS GeForce RTX 5070 Ti TUF OC - 16GB GDDR7 med Tomahawk Max WiFi & Intel i9-14900KF Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
34227
Single Precision Score
57897
Half Precision Score
25920
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kja |
| Upload Date | September 11 2025 07:52 PM |
| Views | 4 |
| Notes | KA's grafikkort i MSI MAG Z790 Tomahawk Max WiFi & Intel i9.14900KF grafikkort Bios Profil: [1.400V_355A_ACLL36] Afterburner: Custom profil A/Nvidia Studio Drv 580.97 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E25 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z790 TOMAHAWK MAX WIFI (MS-7E25) |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900KF |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14282
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
21390
3.98 KIPS |
|
|
Image Classification (Q)
|
100% |
12462
2.32 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24787
401.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
34533
559.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
22090
359.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
173624
202.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
712604
831.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
155895
182.6 IPS |
|
|
Object Detection (SP)
|
100% |
17551
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
26724
2.12 KIPS |
|
|
Object Detection (Q)
|
86% |
14900
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
49039
582.7 IPS |
|
|
Face Detection (HP)
|
100% |
67849
806.2 IPS |
|
|
Face Detection (Q)
|
97% |
40757
486.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
88419
681.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
155165
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
66147
528.2 IPS |
|
|
Style Transfer (SP)
|
100% |
343213
441.2 IPS |
|
|
Style Transfer (HP)
|
100% |
1042159
1.34 KIPS |
|
|
Style Transfer (Q)
|
98% |
281659
363.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49774
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
78889
2.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37277
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
4124
5.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5204
6.95 KIPS |
|
|
Text Classification (Q)
|
97% |
2562
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
6696
115.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6680
115.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2952
55.4 IPS |
