Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5234
Single Precision Score
2206
Half Precision Score
9865
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 03:06 PM |
| Views | 4 |
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% |
4299
799.4 IPS |
|
|
Image Classification (HP)
|
100% |
789
146.8 IPS |
|
|
Image Classification (Q)
|
99% |
9264
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2397
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1410
22.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
12893
209.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9605
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6608
7.71 IPS |
|
|
Pose Estimation (Q)
|
94% |
26996
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
2959
234.7 IPS |
|
|
Object Detection (HP)
|
100% |
983
77.9 IPS |
|
|
Object Detection (Q)
|
86% |
9707
780.1 IPS |
|
|
Face Detection (SP)
|
100% |
11007
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
2244
26.7 IPS |
|
|
Face Detection (Q)
|
97% |
11761
140.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
11460
88.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3137
24.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
20137
160.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21457
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
15323
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25389
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3657
135.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2803
103.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6909
255.8 IPS |
|
|
Text Classification (SP)
|
100% |
1990
2.66 KIPS |
|
|
Text Classification (HP)
|
100% |
978
1.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1712
2.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
2677
46.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3924
78.8 IPS |
