Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
6387
Single Precision Score
2342
Half Precision Score
11067
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | pianohello |
| Upload Date | January 24 2026 07:37 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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 | 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4847
901.4 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.7 IPS |
|
|
Image Classification (Q)
|
99% |
9972
1.86 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2481
40.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16240
264.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12527
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7072
8.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
43965
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
4935
391.4 IPS |
|
|
Object Detection (HP)
|
100% |
1049
83.2 IPS |
|
|
Object Detection (Q)
|
86% |
11098
891.9 IPS |
|
|
Face Detection (SP)
|
100% |
13211
157.0 IPS |
|
|
Face Detection (HP)
|
100% |
2415
28.7 IPS |
|
|
Face Detection (Q)
|
97% |
12699
151.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
14662
113.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3076
23.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
23957
191.2 IPS |
|
|
Style Transfer (SP)
|
100% |
29019
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19202
24.7 IPS |
|
|
Style Transfer (Q)
|
98% |
26420
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5106
188.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3202
118.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6522
241.5 IPS |
|
|
Text Classification (SP)
|
100% |
1874
2.50 KIPS |
|
|
Text Classification (HP)
|
100% |
990
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
1600
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (Q)
|
65% |
4159
83.6 IPS |
