Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
3654
Single Precision Score
1604
Half Precision Score
5703
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | September 16 2025 01:13 PM |
| Views | 2 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3479
647.0 IPS |
|
|
Image Classification (HP)
|
100% |
596
110.9 IPS |
|
|
Image Classification (Q)
|
99% |
6204
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1688
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
3394
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12487
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4616
5.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
17167
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
563
44.7 IPS |
|
|
Object Detection (Q)
|
86% |
8073
648.8 IPS |
|
|
Face Detection (SP)
|
100% |
4648
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (Q)
|
97% |
8016
95.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11200
86.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2081
16.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
9196
73.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21395
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18354
23.6 IPS |
|
|
Style Transfer (Q)
|
98% |
14021
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1369
50.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1778
65.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3334
123.5 IPS |
|
|
Text Classification (SP)
|
100% |
877
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
546
728.7 IPS |
|
|
Text Classification (Q)
|
97% |
1615
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1743
30.0 IPS |
|
|
Machine Translation (HP)
|
100% |
830
14.3 IPS |
|
|
Machine Translation (Q)
|
65% |
2244
45.1 IPS |
