Micro-Star International Co., Ltd. MS-7E39
Geekbench AI Score
5181
Single Precision Score
1971
Half Precision Score
9327
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 10 2025 06:45 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-7E39 |
| Motherboard | Micro-Star International Co., Ltd. MAG B860 TOMAHAWK WIFI (MS-7E39) |
| Power Plan | High performance |
| 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% |
4048
752.8 IPS |
|
|
Image Classification (HP)
|
100% |
662
123.2 IPS |
|
|
Image Classification (Q)
|
99% |
7645
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1896
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1180
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15931
259.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11509
13.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5864
6.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
32877
38.5 IPS |
|
|
Object Detection (SP)
|
100% |
3438
272.7 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
86% |
9133
734.0 IPS |
|
|
Face Detection (SP)
|
100% |
10649
126.5 IPS |
|
|
Face Detection (HP)
|
100% |
2026
24.1 IPS |
|
|
Face Detection (Q)
|
97% |
11601
138.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11784
90.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2842
21.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
17093
136.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24094
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
14787
19.0 IPS |
|
|
Style Transfer (Q)
|
98% |
23712
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3667
135.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5205
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
1561
2.08 KIPS |
|
|
Text Classification (HP)
|
100% |
936
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
1547
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2656
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1224
21.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3601
72.4 IPS |
