MSI MAG Z790 Tomahawk Max WiFi & Intel i9-14900KF med ASUS GeForce RTX 5070 Ti TUF OC - 16GB GDDR7 Micro-Star International Co., Ltd. MS-7E25
Geekbench AI Score
6134
Single Precision Score
6093
Half Precision Score
14993
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kja |
| Upload Date | September 11 2025 08:44 PM |
| Views | 7 |
| Notes | Bios Profil: [1.400V_355A_ACLL36] Afterburner: Def profil/Nvidia Studio Drv 580.97 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KF |
| 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% |
3841
714.2 IPS |
|
|
Image Classification (HP)
|
100% |
3822
710.7 IPS |
|
|
Image Classification (Q)
|
100% |
10199
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5265
85.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5227
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
11686
189.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9360
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
9187
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
34592
40.5 IPS |
|
|
Object Detection (SP)
|
100% |
3434
272.4 IPS |
|
|
Object Detection (HP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (Q)
|
88% |
11066
887.1 IPS |
|
|
Face Detection (SP)
|
100% |
10865
129.1 IPS |
|
|
Face Detection (HP)
|
100% |
10961
130.2 IPS |
|
|
Face Detection (Q)
|
100% |
17230
204.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9486
73.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9544
73.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
28568
222.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24738
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
24161
31.1 IPS |
|
|
Style Transfer (Q)
|
98% |
88261
113.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4644
171.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4657
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17064
632.0 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (Q)
|
92% |
5823
7.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
3050
52.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2962
51.0 IPS |
|
|
Machine Translation (Q)
|
100% |
2916
50.2 IPS |
