Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
9254
Single Precision Score
7615
Half Precision Score
16192
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 09:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| System Information | |
|---|---|
| Operating System | 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) |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6183
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
3434
638.7 IPS |
|
|
Image Classification (Q)
|
100% |
10157
1.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7625
123.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
4387
71.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10745
174.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15312
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
15430
18.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33736
39.5 IPS |
|
|
Object Detection (SP)
|
100% |
5395
427.9 IPS |
|
|
Object Detection (HP)
|
100% |
3738
296.5 IPS |
|
|
Object Detection (Q)
|
88% |
11048
885.6 IPS |
|
|
Face Detection (SP)
|
100% |
15467
183.8 IPS |
|
|
Face Detection (HP)
|
100% |
9693
115.2 IPS |
|
|
Face Detection (Q)
|
100% |
27985
332.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14965
115.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
13699
105.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
32872
255.6 IPS |
|
|
Style Transfer (SP)
|
100% |
43440
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
43110
55.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95341
122.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9098
335.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9787
361.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18035
667.9 IPS |
|
|
Text Classification (SP)
|
100% |
4157
5.55 KIPS |
|
|
Text Classification (HP)
|
100% |
3480
4.64 KIPS |
|
|
Text Classification (Q)
|
92% |
6449
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
3110
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3873
66.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2987
51.4 IPS |
