Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7545
Single Precision Score
2618
Half Precision Score
11118
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 18 2025 03:48 PM |
| Views | 4 |
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% |
5869
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
879
163.4 IPS |
|
|
Image Classification (Q)
|
99% |
10595
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2747
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4650
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
16797
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
8756
10.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
53158
62.3 IPS |
|
|
Object Detection (SP)
|
100% |
5145
408.1 IPS |
|
|
Object Detection (HP)
|
100% |
1151
91.3 IPS |
|
|
Object Detection (Q)
|
86% |
13034
1.05 KIPS |
|
|
Face Detection (SP)
|
100% |
15260
181.3 IPS |
|
|
Face Detection (HP)
|
100% |
2611
31.0 IPS |
|
|
Face Detection (Q)
|
97% |
14937
178.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
17657
136.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3642
28.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
25579
204.1 IPS |
|
|
Style Transfer (SP)
|
100% |
36588
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22617
29.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30769
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6014
222.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7344
271.9 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1914
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3477
59.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1293
22.3 IPS |
|
|
Machine Translation (Q)
|
65% |
5118
102.8 IPS |
