Micro-Star International Co., Ltd. MS-7E32
Geekbench AI Score
7223
Single Precision Score
2664
Half Precision Score
11961
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | werfree |
| Upload Date | January 19 2026 02:41 PM |
| Views | 4 |
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% |
5880
1.09 KIPS |
|
|
Image Classification (HP)
|
100% |
749
139.2 IPS |
|
|
Image Classification (Q)
|
99% |
10360
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2780
45.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16535
268.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
14813
17.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8672
10.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
46994
55.1 IPS |
|
|
Object Detection (SP)
|
100% |
5402
428.5 IPS |
|
|
Object Detection (HP)
|
100% |
1202
95.4 IPS |
|
|
Object Detection (Q)
|
86% |
12121
974.2 IPS |
|
|
Face Detection (SP)
|
100% |
14952
177.7 IPS |
|
|
Face Detection (HP)
|
100% |
2686
31.9 IPS |
|
|
Face Detection (Q)
|
97% |
14081
167.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16858
129.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3697
28.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
24159
192.8 IPS |
|
|
Style Transfer (SP)
|
100% |
33463
43.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22265
28.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30035
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5141
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3879
143.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7504
277.9 IPS |
|
|
Text Classification (SP)
|
100% |
2062
2.75 KIPS |
|
|
Text Classification (HP)
|
100% |
1018
1.36 KIPS |
|
|
Text Classification (Q)
|
97% |
1756
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3305
56.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4564
91.7 IPS |
