Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
6957
Single Precision Score
2444
Half Precision Score
10311
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 04:42 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
5455
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
833
154.9 IPS |
|
|
Image Classification (Q)
|
99% |
9768
1.82 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2558
41.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1534
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4640
75.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16204
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7647
8.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
48982
57.4 IPS |
|
|
Object Detection (SP)
|
100% |
4839
383.8 IPS |
|
|
Object Detection (HP)
|
100% |
1096
87.0 IPS |
|
|
Object Detection (Q)
|
86% |
11376
914.3 IPS |
|
|
Face Detection (SP)
|
100% |
13435
159.6 IPS |
|
|
Face Detection (HP)
|
100% |
2498
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
13531
161.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
16182
124.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3475
26.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
23190
185.0 IPS |
|
|
Style Transfer (SP)
|
100% |
32734
42.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21040
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30210
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5668
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3737
138.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7253
268.6 IPS |
|
|
Text Classification (SP)
|
100% |
2034
2.72 KIPS |
|
|
Text Classification (HP)
|
100% |
1055
1.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1810
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2961
51.0 IPS |
|
|
Machine Translation (HP)
|
100% |
988
17.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4325
86.9 IPS |
