Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
3568
Single Precision Score
1527
Half Precision Score
5660
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | July 04 2025 09:40 AM |
| Views | 4 |
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 | Balanced |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3146
585.1 IPS |
|
|
Image Classification (HP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (Q)
|
99% |
3194
595.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1786
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1086
17.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
8683
141.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10493
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
5960
6.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
28596
33.5 IPS |
|
|
Object Detection (SP)
|
100% |
1855
147.2 IPS |
|
|
Object Detection (HP)
|
100% |
508
40.3 IPS |
|
|
Object Detection (Q)
|
86% |
3536
284.2 IPS |
|
|
Face Detection (SP)
|
100% |
4620
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
1149
13.7 IPS |
|
|
Face Detection (Q)
|
97% |
8110
96.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7250
55.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2247
17.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
11794
94.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22565
29.0 IPS |
|
|
Style Transfer (HP)
|
100% |
12765
16.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18181
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3113
115.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2354
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3356
124.3 IPS |
|
|
Text Classification (SP)
|
100% |
917
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
487
650.1 IPS |
|
|
Text Classification (Q)
|
97% |
982
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1418
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2103
42.2 IPS |
