Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
6254
Single Precision Score
9509
Half Precision Score
13899
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | September 17 2025 09:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E34 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-P WIFI (MS-7E34) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3970
738.3 IPS |
|
|
Image Classification (HP)
|
100% |
6843
1.27 KIPS |
|
|
Image Classification (Q)
|
56% |
6315
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4814
78.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2967
48.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3987
64.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7778
9.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
33975
39.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
74911
87.8 IPS |
|
|
Object Detection (SP)
|
100% |
3519
279.1 IPS |
|
|
Object Detection (HP)
|
100% |
5869
465.5 IPS |
|
|
Object Detection (Q)
|
87% |
9633
773.1 IPS |
|
|
Face Detection (SP)
|
100% |
10926
129.8 IPS |
|
|
Face Detection (HP)
|
100% |
16419
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
28240
335.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9571
73.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18045
139.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
34022
264.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22632
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
52078
66.9 IPS |
|
|
Style Transfer (Q)
|
98% |
96384
124.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4549
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13553
500.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22512
833.7 IPS |
|
|
Text Classification (SP)
|
100% |
3874
5.17 KIPS |
|
|
Text Classification (HP)
|
100% |
1744
2.33 KIPS |
|
|
Text Classification (Q)
|
92% |
1742
2.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
4197
72.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4098
70.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4080
70.3 IPS |
