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
32968
Single Precision Score
56234
Half Precision Score
24840
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kja |
| Upload Date | September 11 2025 08:35 PM |
| Views | 7 |
| Notes | KA's grafikkort i MSI MAG Z790 Tomahawk Max WiFi & Intel i9.14900KF grafikkort Bios Profil: [1.400V_355A_ACLL36] Afterburner: Def profil/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% |
13756
2.56 KIPS |
|
|
Image Classification (HP)
|
100% |
20660
3.84 KIPS |
|
|
Image Classification (Q)
|
100% |
12077
2.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23980
388.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
34115
553.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
21310
346.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
174387
203.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
685452
799.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
156618
183.5 IPS |
|
|
Object Detection (SP)
|
100% |
16551
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
26048
2.07 KIPS |
|
|
Object Detection (Q)
|
86% |
13920
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
47373
562.9 IPS |
|
|
Face Detection (HP)
|
100% |
66323
788.1 IPS |
|
|
Face Detection (Q)
|
97% |
39634
472.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
85471
658.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
150224
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
63439
506.6 IPS |
|
|
Style Transfer (SP)
|
100% |
307708
395.6 IPS |
|
|
Style Transfer (HP)
|
100% |
988210
1.27 KIPS |
|
|
Style Transfer (Q)
|
98% |
260738
336.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47129
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76995
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36083
1.34 KIPS |
|
|
Text Classification (SP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (HP)
|
100% |
5063
6.76 KIPS |
|
|
Text Classification (Q)
|
97% |
2375
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
6657
114.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6548
112.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2838
53.2 IPS |
