Micro-Star International Co., Ltd. MS-7E34
Geekbench AI Score
7506
Single Precision Score
2150
Half Precision Score
3305
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 04:40 PM |
| Views | 2 |
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 | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265KF |
| 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% |
4562
848.5 IPS |
|
|
Image Classification (HP)
|
100% |
1351
251.3 IPS |
|
|
Image Classification (Q)
|
100% |
2147
399.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5979
96.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (Q)
|
99% |
747
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8746
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
7322
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
15811
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
4428
351.2 IPS |
|
|
Object Detection (HP)
|
100% |
1277
101.3 IPS |
|
|
Object Detection (Q)
|
87% |
2186
175.5 IPS |
|
|
Face Detection (SP)
|
100% |
13204
156.9 IPS |
|
|
Face Detection (HP)
|
100% |
3523
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
6363
75.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11212
86.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4375
33.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
8050
62.6 IPS |
|
|
Style Transfer (SP)
|
100% |
26156
33.6 IPS |
|
|
Style Transfer (HP)
|
100% |
12785
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
21762
28.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5528
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2926
108.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5117
189.5 IPS |
|
|
Text Classification (SP)
|
100% |
4214
5.62 KIPS |
|
|
Text Classification (HP)
|
100% |
504
672.6 IPS |
|
|
Text Classification (Q)
|
92% |
510
685.6 IPS |
|
|
Machine Translation (SP)
|
100% |
5964
102.7 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
100% |
966
16.6 IPS |
