Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5321
Single Precision Score
2157
Half Precision Score
10088
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 03:14 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4308
801.2 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.7 IPS |
|
|
Image Classification (Q)
|
99% |
9262
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1378
22.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
12759
207.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9829
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6518
7.61 IPS |
|
|
Pose Estimation (Q)
|
94% |
33633
39.4 IPS |
|
|
Object Detection (SP)
|
100% |
3860
306.2 IPS |
|
|
Object Detection (HP)
|
100% |
989
78.5 IPS |
|
|
Object Detection (Q)
|
86% |
9443
758.9 IPS |
|
|
Face Detection (SP)
|
100% |
10664
126.7 IPS |
|
|
Face Detection (HP)
|
100% |
2205
26.2 IPS |
|
|
Face Detection (Q)
|
97% |
11953
142.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11111
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3133
24.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19909
158.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21652
27.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14846
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
25294
32.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3767
139.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6682
247.4 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
1811
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
2708
46.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1262
21.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3994
80.3 IPS |
