Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6796
Single Precision Score
2434
Half Precision Score
9025
Quantized Score
Geekbench AI 1.2.0 Corporate for Windows AVX2
Result Information
| User | boris_sdk |
| Upload Date | April 20 2025 09:52 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265K |
| 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 | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265K |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5353
995.5 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
99% |
9625
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2882
46.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1579
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4292
69.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14285
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8091
9.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
47748
56.0 IPS |
|
|
Object Detection (SP)
|
100% |
4951
392.7 IPS |
|
|
Object Detection (HP)
|
100% |
1031
81.8 IPS |
|
|
Object Detection (Q)
|
86% |
9995
803.3 IPS |
|
|
Face Detection (SP)
|
100% |
13939
165.6 IPS |
|
|
Face Detection (HP)
|
100% |
2497
29.7 IPS |
|
|
Face Detection (Q)
|
97% |
12529
149.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
16392
126.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3450
26.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
24477
195.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31756
40.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20093
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31900
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4678
172.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7324
271.2 IPS |
|
|
Text Classification (SP)
|
100% |
2052
2.74 KIPS |
|
|
Text Classification (HP)
|
100% |
918
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
663
887.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2768
47.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (Q)
|
65% |
3831
77.0 IPS |
