Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
18448
Single Precision Score
34723
Half Precision Score
13666
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 12:56 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 245K |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 4.19 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7511
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
13905
2.59 KIPS |
|
|
Image Classification (Q)
|
99% |
6821
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14585
236.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22485
364.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13256
215.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
93445
109.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
300105
350.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79392
93.0 IPS |
|
|
Object Detection (SP)
|
100% |
9642
764.8 IPS |
|
|
Object Detection (HP)
|
100% |
16568
1.31 KIPS |
|
|
Object Detection (Q)
|
83% |
8476
684.8 IPS |
|
|
Face Detection (SP)
|
100% |
20210
240.1 IPS |
|
|
Face Detection (HP)
|
100% |
33642
399.7 IPS |
|
|
Face Detection (Q)
|
97% |
17415
207.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
45420
349.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
98560
759.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
37122
296.8 IPS |
|
|
Style Transfer (SP)
|
100% |
137792
177.1 IPS |
|
|
Style Transfer (HP)
|
100% |
508424
653.6 IPS |
|
|
Style Transfer (Q)
|
98% |
121982
157.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26114
964.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50588
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20995
777.4 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
4151
5.54 KIPS |
|
|
Text Classification (Q)
|
97% |
1886
2.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4312
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4630
79.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1196
22.4 IPS |
