Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5088
Single Precision Score
3701
Half Precision Score
13068
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 01 2026 03:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| 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% |
3117
579.6 IPS |
|
|
Image Classification (HP)
|
100% |
2394
445.2 IPS |
|
|
Image Classification (Q)
|
100% |
8483
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3734
60.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1881
30.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8301
134.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5909
6.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
3988
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
22660
26.5 IPS |
|
|
Object Detection (SP)
|
100% |
2972
235.7 IPS |
|
|
Object Detection (HP)
|
100% |
2289
181.6 IPS |
|
|
Object Detection (Q)
|
88% |
8967
718.8 IPS |
|
|
Face Detection (SP)
|
100% |
8517
101.2 IPS |
|
|
Face Detection (HP)
|
100% |
7349
87.3 IPS |
|
|
Face Detection (Q)
|
100% |
22390
266.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7675
59.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
5565
42.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
23177
180.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17124
22.0 IPS |
|
|
Style Transfer (HP)
|
100% |
11497
14.8 IPS |
|
|
Style Transfer (Q)
|
98% |
63523
81.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3665
135.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2592
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13064
483.8 IPS |
|
|
Text Classification (SP)
|
100% |
3091
4.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2224
2.97 KIPS |
|
|
Text Classification (Q)
|
92% |
5374
7.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4490
77.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4389
75.6 IPS |
