Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
6818
Single Precision Score
2503
Half Precision Score
10169
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 17 2025 12:41 PM |
| Views | 4 |
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) |
| 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% |
5352
995.2 IPS |
|
|
Image Classification (HP)
|
100% |
838
155.8 IPS |
|
|
Image Classification (Q)
|
99% |
8995
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2718
44.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
4590
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
14314
16.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
8371
9.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
47434
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
4920
390.2 IPS |
|
|
Object Detection (HP)
|
100% |
1101
87.3 IPS |
|
|
Object Detection (Q)
|
86% |
11550
928.2 IPS |
|
|
Face Detection (SP)
|
100% |
13180
156.6 IPS |
|
|
Face Detection (HP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (Q)
|
97% |
12884
153.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16026
123.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3470
26.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
24058
192.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33021
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21575
27.7 IPS |
|
|
Style Transfer (Q)
|
98% |
28907
37.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5174
191.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3640
134.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6666
246.8 IPS |
|
|
Text Classification (SP)
|
100% |
2079
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1955
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2826
48.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1163
20.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4479
90.0 IPS |
