Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6785
Single Precision Score
2334
Half Precision Score
9743
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 09:02 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 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E32 |
| Motherboard | Micro-Star International Co., Ltd. MAG Z890 TOMAHAWK WIFI (MS-7E32) |
| Power Plan | Ausbalanciert |
| 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% |
4792
891.2 IPS |
|
|
Image Classification (HP)
|
100% |
753
140.0 IPS |
|
|
Image Classification (Q)
|
99% |
10191
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2859
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4356
70.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14276
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
7969
9.30 IPS |
|
|
Pose Estimation (Q)
|
94% |
44632
52.3 IPS |
|
|
Object Detection (SP)
|
100% |
4980
395.0 IPS |
|
|
Object Detection (HP)
|
100% |
1075
85.3 IPS |
|
|
Object Detection (Q)
|
86% |
11428
918.4 IPS |
|
|
Face Detection (SP)
|
100% |
13099
155.7 IPS |
|
|
Face Detection (HP)
|
100% |
2380
28.3 IPS |
|
|
Face Detection (Q)
|
97% |
13634
162.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15498
119.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2833
21.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
21284
169.8 IPS |
|
|
Style Transfer (SP)
|
100% |
32309
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20040
25.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31570
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5117
189.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3485
128.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4741
175.5 IPS |
|
|
Text Classification (SP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
895
1.19 KIPS |
|
|
Text Classification (Q)
|
97% |
1858
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3168
54.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4222
84.8 IPS |
