Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5882
Single Precision Score
2288
Half Precision Score
10387
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 14 2025 09:50 AM |
| 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-7E42 |
| Motherboard | Micro-Star International Co., Ltd. PRO B860M-A WIFI (MS-7E42) |
| 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% |
4960
922.4 IPS |
|
|
Image Classification (HP)
|
100% |
809
150.4 IPS |
|
|
Image Classification (Q)
|
99% |
9464
1.77 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2299
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1530
24.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14750
239.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12644
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
6835
7.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
40224
47.2 IPS |
|
|
Object Detection (SP)
|
100% |
4409
349.7 IPS |
|
|
Object Detection (HP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (Q)
|
86% |
10670
857.5 IPS |
|
|
Face Detection (SP)
|
100% |
11183
132.9 IPS |
|
|
Face Detection (HP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (Q)
|
97% |
12480
148.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13857
106.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3203
24.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
21342
170.3 IPS |
|
|
Style Transfer (SP)
|
100% |
26780
34.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17055
21.9 IPS |
|
|
Style Transfer (Q)
|
98% |
23710
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3081
113.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6473
239.7 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
100% |
981
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1548
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2632
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1313
22.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3859
77.5 IPS |
