Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5845
Single Precision Score
2067
Half Precision Score
8785
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 20 2025 05:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 265 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. PRO B860M-A WIFI (MS-7E42) |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 7 265 |
| Topology | 1 Processor, 20 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5023
934.2 IPS |
|
|
Image Classification (HP)
|
100% |
808
150.3 IPS |
|
|
Image Classification (Q)
|
99% |
9836
1.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2501
40.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4839
78.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12679
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
5597
6.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
37058
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
3495
277.2 IPS |
|
|
Object Detection (HP)
|
100% |
919
72.9 IPS |
|
|
Object Detection (Q)
|
86% |
11439
919.3 IPS |
|
|
Face Detection (SP)
|
100% |
11208
133.2 IPS |
|
|
Face Detection (HP)
|
100% |
2327
27.6 IPS |
|
|
Face Detection (Q)
|
97% |
6079
72.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9593
73.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2436
18.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
22461
179.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27576
35.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17273
22.2 IPS |
|
|
Style Transfer (Q)
|
98% |
27200
35.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4593
169.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2857
105.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5400
199.9 IPS |
|
|
Text Classification (SP)
|
100% |
1975
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1011
1.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1708
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3112
53.6 IPS |
|
|
Machine Translation (HP)
|
100% |
821
14.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3966
79.7 IPS |
