Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
19179
Single Precision Score
34883
Half Precision Score
14936
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | November 28 2025 12:49 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| 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(R) Core(TM) Ultra 5 225 |
| Topology | 1 Processor, 10 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8006
1.49 KIPS |
|
|
Image Classification (HP)
|
100% |
15320
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
7226
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12510
202.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17428
282.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11498
187.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
98353
114.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
305026
355.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
81968
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
10449
828.8 IPS |
|
|
Object Detection (HP)
|
100% |
17279
1.37 KIPS |
|
|
Object Detection (Q)
|
83% |
9131
737.8 IPS |
|
|
Face Detection (SP)
|
100% |
23733
282.0 IPS |
|
|
Face Detection (HP)
|
100% |
36858
438.0 IPS |
|
|
Face Detection (Q)
|
97% |
21428
255.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
48688
375.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
100944
777.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39201
313.4 IPS |
|
|
Style Transfer (SP)
|
100% |
151652
195.0 IPS |
|
|
Style Transfer (HP)
|
100% |
518102
666.0 IPS |
|
|
Style Transfer (Q)
|
98% |
128142
165.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27743
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54260
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21877
810.1 IPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2122
2.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3964
68.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4155
71.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1779
33.4 IPS |
