Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6667
Single Precision Score
2288
Half Precision Score
3495
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 15 2025 05:13 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-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4145
770.8 IPS |
|
|
Image Classification (HP)
|
100% |
1617
300.8 IPS |
|
|
Image Classification (Q)
|
100% |
2233
415.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
5366
87.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
633
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
838
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7962
9.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
7343
8.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
15911
18.6 IPS |
|
|
Object Detection (SP)
|
100% |
3863
306.4 IPS |
|
|
Object Detection (HP)
|
100% |
1355
107.5 IPS |
|
|
Object Detection (Q)
|
87% |
2268
182.0 IPS |
|
|
Face Detection (SP)
|
100% |
11030
131.1 IPS |
|
|
Face Detection (HP)
|
100% |
3876
46.1 IPS |
|
|
Face Detection (Q)
|
100% |
7170
85.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9752
75.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4574
35.2 IPS |
|
|
Depth Estimation (Q)
|
88% |
8242
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22879
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
12616
16.2 IPS |
|
|
Style Transfer (Q)
|
98% |
22763
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4755
175.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3086
114.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5259
194.8 IPS |
|
|
Text Classification (SP)
|
100% |
3959
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
520
694.5 IPS |
|
|
Text Classification (Q)
|
92% |
527
708.5 IPS |
|
|
Machine Translation (SP)
|
100% |
5481
94.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1076
18.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1082
18.6 IPS |
