Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
4466
Single Precision Score
5969
Half Precision Score
3066
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | Lyth03 |
| Upload Date | August 24 2025 02:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E54 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z890-S WIFI (MS-7E54) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2763
513.8 IPS |
|
|
Image Classification (HP)
|
100% |
3581
666.0 IPS |
|
|
Image Classification (Q)
|
99% |
1985
370.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
3342
54.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5389
87.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2160
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9026
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14077
16.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
8033
9.41 IPS |
|
|
Object Detection (SP)
|
100% |
2654
210.6 IPS |
|
|
Object Detection (HP)
|
100% |
3906
309.8 IPS |
|
|
Object Detection (Q)
|
86% |
2046
164.5 IPS |
|
|
Face Detection (SP)
|
100% |
5563
66.1 IPS |
|
|
Face Detection (HP)
|
100% |
7899
93.9 IPS |
|
|
Face Detection (Q)
|
97% |
3767
44.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
10045
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15346
118.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
7311
58.6 IPS |
|
|
Style Transfer (SP)
|
100% |
27235
35.0 IPS |
|
|
Style Transfer (HP)
|
100% |
41107
52.8 IPS |
|
|
Style Transfer (Q)
|
98% |
21428
27.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4972
183.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7328
270.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3508
129.9 IPS |
|
|
Text Classification (SP)
|
100% |
1133
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
769
1.03 KIPS |
|
|
Text Classification (Q)
|
97% |
679
909.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1665
28.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1929
33.4 IPS |
|
|
Machine Translation (Q)
|
70% |
742
13.9 IPS |
