Micro-Star International Co., Ltd. MS-7E58
Geekbench AI Score
6773
Single Precision Score
9997
Half Precision Score
15285
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:39 AM |
| Views | 3 |
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-7E58 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI PZ (MS-7E58) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4167
774.9 IPS |
|
|
Image Classification (HP)
|
100% |
7046
1.31 KIPS |
|
|
Image Classification (Q)
|
100% |
9712
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5298
85.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3958
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8145
9.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
34764
40.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
75542
88.5 IPS |
|
|
Object Detection (SP)
|
100% |
3767
298.8 IPS |
|
|
Object Detection (HP)
|
100% |
6129
486.1 IPS |
|
|
Object Detection (Q)
|
87% |
9869
792.1 IPS |
|
|
Face Detection (SP)
|
100% |
11636
138.3 IPS |
|
|
Face Detection (HP)
|
100% |
17252
205.0 IPS |
|
|
Face Detection (Q)
|
100% |
32115
381.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10083
77.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
18591
143.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
34581
269.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24347
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
52347
67.3 IPS |
|
|
Style Transfer (Q)
|
98% |
97170
125.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5102
188.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14278
527.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23908
885.4 IPS |
|
|
Text Classification (SP)
|
100% |
3930
5.25 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
92% |
2072
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
5238
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4486
77.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4545
78.3 IPS |
