Micro-Star International Co., Ltd. MS-7E54
Geekbench AI Score
7586
Single Precision Score
2473
Half Precision Score
10964
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 17 2025 02:09 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 285K |
| 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 | Gebalanceerd |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5867
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
870
161.7 IPS |
|
|
Image Classification (Q)
|
99% |
10564
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2997
48.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1642
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4562
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
16215
18.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
8504
9.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
52894
62.0 IPS |
|
|
Object Detection (SP)
|
100% |
5599
444.1 IPS |
|
|
Object Detection (HP)
|
100% |
1146
90.9 IPS |
|
|
Object Detection (Q)
|
86% |
12904
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
15476
183.9 IPS |
|
|
Face Detection (HP)
|
100% |
2715
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
14763
176.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17483
134.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3076
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24096
192.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36194
46.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21005
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
36716
47.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5932
219.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2987
110.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7435
275.3 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
932
1.24 KIPS |
|
|
Text Classification (Q)
|
97% |
1852
2.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3264
56.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4245
85.3 IPS |
