Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6573
Single Precision Score
2379
Half Precision Score
9948
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 25 2025 04:18 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5042
937.7 IPS |
|
|
Image Classification (HP)
|
100% |
745
138.6 IPS |
|
|
Image Classification (Q)
|
99% |
9916
1.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2700
43.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1606
26.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4834
78.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
15456
18.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7691
8.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
49206
57.7 IPS |
|
|
Object Detection (SP)
|
100% |
4507
357.5 IPS |
|
|
Object Detection (HP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (Q)
|
86% |
11673
938.1 IPS |
|
|
Face Detection (SP)
|
100% |
13910
165.3 IPS |
|
|
Face Detection (HP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
13858
165.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
14846
114.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3515
27.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
22597
180.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31577
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18979
24.4 IPS |
|
|
Style Transfer (Q)
|
98% |
32644
42.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4155
153.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3196
118.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4807
178.0 IPS |
|
|
Text Classification (SP)
|
100% |
1892
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
901
1.20 KIPS |
|
|
Text Classification (Q)
|
97% |
1789
2.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3100
53.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1234
21.2 IPS |
|
|
Machine Translation (Q)
|
65% |
3923
78.8 IPS |
