Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7182
Single Precision Score
2705
Half Precision Score
11635
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 20 2026 02:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 Core 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5886
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
915
170.2 IPS |
|
|
Image Classification (Q)
|
99% |
10335
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2535
41.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16340
265.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14867
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8654
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
47493
55.7 IPS |
|
|
Object Detection (SP)
|
100% |
5332
422.9 IPS |
|
|
Object Detection (HP)
|
100% |
1215
96.3 IPS |
|
|
Object Detection (Q)
|
86% |
12055
968.9 IPS |
|
|
Face Detection (SP)
|
100% |
14891
176.9 IPS |
|
|
Face Detection (HP)
|
100% |
2618
31.1 IPS |
|
|
Face Detection (Q)
|
97% |
13664
162.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16859
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3652
28.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
23946
191.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32361
41.6 IPS |
|
|
Style Transfer (HP)
|
100% |
21259
27.3 IPS |
|
|
Style Transfer (Q)
|
98% |
25471
32.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5521
203.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3802
140.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7168
265.4 IPS |
|
|
Text Classification (SP)
|
100% |
2059
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1090
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3347
57.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1553
26.7 IPS |
|
|
Machine Translation (Q)
|
65% |
4600
92.4 IPS |
