Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5572
Single Precision Score
2272
Half Precision Score
10354
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | December 04 2025 12:49 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 245K |
| 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% |
4695
873.1 IPS |
|
|
Image Classification (HP)
|
100% |
821
152.8 IPS |
|
|
Image Classification (Q)
|
99% |
9338
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2220
36.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1448
23.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
13235
215.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10165
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
6914
8.07 IPS |
|
|
Pose Estimation (Q)
|
94% |
34814
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
4000
317.3 IPS |
|
|
Object Detection (HP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (Q)
|
86% |
10574
849.8 IPS |
|
|
Face Detection (SP)
|
100% |
9555
113.5 IPS |
|
|
Face Detection (HP)
|
100% |
2176
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
12365
147.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12179
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3103
23.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
21267
169.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22506
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
16062
20.6 IPS |
|
|
Style Transfer (Q)
|
98% |
20611
26.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4135
152.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3073
113.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7162
265.2 IPS |
|
|
Text Classification (SP)
|
100% |
2106
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
1028
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1835
2.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
2987
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
65% |
4373
87.9 IPS |
