Micro-Star International Co., Ltd. MS-7E58
Geekbench AI Score
6474
Single Precision Score
9909
Half Precision Score
15100
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 08:17 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% |
3880
721.5 IPS |
|
|
Image Classification (HP)
|
100% |
6812
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9568
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5227
84.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2932
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3941
63.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7861
9.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
34751
40.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
74766
87.6 IPS |
|
|
Object Detection (SP)
|
100% |
3609
286.3 IPS |
|
|
Object Detection (HP)
|
100% |
6018
477.4 IPS |
|
|
Object Detection (Q)
|
87% |
9663
775.6 IPS |
|
|
Face Detection (SP)
|
100% |
11052
131.3 IPS |
|
|
Face Detection (HP)
|
100% |
17268
205.2 IPS |
|
|
Face Detection (Q)
|
100% |
31890
378.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9591
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
18367
141.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
34621
269.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23041
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
51726
66.5 IPS |
|
|
Style Transfer (Q)
|
98% |
96580
124.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4867
179.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14153
522.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23400
866.6 IPS |
|
|
Text Classification (SP)
|
100% |
3768
5.03 KIPS |
|
|
Text Classification (HP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (Q)
|
92% |
2051
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5021
86.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4433
76.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4423
76.2 IPS |
