Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7560
Single Precision Score
2626
Half Precision Score
11109
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 03:34 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, 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5901
1.10 KIPS |
|
|
Image Classification (HP)
|
100% |
861
160.1 IPS |
|
|
Image Classification (Q)
|
99% |
10795
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2761
44.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4667
75.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
16842
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8497
9.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
53965
63.3 IPS |
|
|
Object Detection (SP)
|
100% |
5336
423.2 IPS |
|
|
Object Detection (HP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (Q)
|
86% |
12978
1.04 KIPS |
|
|
Face Detection (SP)
|
100% |
15045
178.8 IPS |
|
|
Face Detection (HP)
|
100% |
2687
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
14902
177.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17587
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3688
28.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
25270
201.6 IPS |
|
|
Style Transfer (SP)
|
100% |
35383
45.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21282
27.4 IPS |
|
|
Style Transfer (Q)
|
98% |
29951
38.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6011
221.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3857
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7398
273.9 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
1074
1.43 KIPS |
|
|
Text Classification (Q)
|
97% |
1843
2.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1294
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5280
106.1 IPS |
