Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7118
Single Precision Score
2596
Half Precision Score
10716
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 04 2025 12:48 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 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 285K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5457
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
872
162.2 IPS |
|
|
Image Classification (Q)
|
99% |
9999
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2650
43.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1595
25.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
5011
81.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14817
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8469
9.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
48846
57.3 IPS |
|
|
Object Detection (SP)
|
100% |
5246
416.1 IPS |
|
|
Object Detection (HP)
|
100% |
1140
90.4 IPS |
|
|
Object Detection (Q)
|
86% |
11972
962.1 IPS |
|
|
Face Detection (SP)
|
100% |
14396
171.1 IPS |
|
|
Face Detection (HP)
|
100% |
2717
32.3 IPS |
|
|
Face Detection (Q)
|
97% |
13619
162.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16948
130.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3661
28.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
25352
202.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33430
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20793
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
31077
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5444
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3834
141.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6750
250.0 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1067
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
1971
2.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
3171
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1225
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4777
96.0 IPS |
