Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5325
Single Precision Score
3794
Half Precision Score
14171
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 15 2025 05:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 5 235 |
| System Information | |
|---|---|
| Operating System | Linux Mint 22.1 |
| Model | Micro-Star International Co., Ltd. MS-7E42 |
| Motherboard | Micro-Star International Co., Ltd. PRO B860M-A WIFI (MS-7E42) |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 235 |
| Topology | 1 Processor, 14 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 30.97 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3322
617.8 IPS |
|
|
Image Classification (HP)
|
100% |
2376
441.8 IPS |
|
|
Image Classification (Q)
|
100% |
8631
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4335
70.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1982
32.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
10067
163.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6045
7.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
3986
4.65 IPS |
|
|
Pose Estimation (Q)
|
96% |
23297
27.3 IPS |
|
|
Object Detection (SP)
|
100% |
3183
252.5 IPS |
|
|
Object Detection (HP)
|
100% |
2352
186.6 IPS |
|
|
Object Detection (Q)
|
88% |
9437
756.5 IPS |
|
|
Face Detection (SP)
|
100% |
9719
115.5 IPS |
|
|
Face Detection (HP)
|
100% |
7426
88.2 IPS |
|
|
Face Detection (Q)
|
100% |
23704
281.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8086
62.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5722
44.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
24062
187.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11888
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
11630
15.0 IPS |
|
|
Style Transfer (Q)
|
98% |
66322
85.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2615
96.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13352
494.5 IPS |
|
|
Text Classification (SP)
|
100% |
3141
4.19 KIPS |
|
|
Text Classification (HP)
|
100% |
2258
3.01 KIPS |
|
|
Text Classification (Q)
|
92% |
5832
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5834
100.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4805
82.8 IPS |
|
|
Machine Translation (Q)
|
100% |
5806
100.0 IPS |
