Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
5028
Single Precision Score
1316
Half Precision Score
10986
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 15 2025 05:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
2958
550.2 IPS |
|
|
Image Classification (HP)
|
100% |
284
52.8 IPS |
|
|
Image Classification (Q)
|
97% |
10877
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2272
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
99% |
5020
81.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9567
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
6993
8.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
33868
39.7 IPS |
|
|
Object Detection (SP)
|
100% |
3209
254.5 IPS |
|
|
Object Detection (HP)
|
100% |
385
30.5 IPS |
|
|
Object Detection (Q)
|
86% |
11080
890.4 IPS |
|
|
Face Detection (SP)
|
100% |
5604
66.6 IPS |
|
|
Face Detection (HP)
|
100% |
570
6.78 IPS |
|
|
Face Detection (Q)
|
97% |
23886
284.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10546
81.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1691
13.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
22290
177.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23017
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
17984
23.1 IPS |
|
|
Style Transfer (Q)
|
98% |
28717
37.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4261
157.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3225
119.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6623
245.2 IPS |
|
|
Text Classification (SP)
|
100% |
2519
3.36 KIPS |
|
|
Text Classification (HP)
|
100% |
923
1.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2315
3.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3429
59.1 IPS |
|
|
Machine Translation (HP)
|
100% |
823
14.2 IPS |
|
|
Machine Translation (Q)
|
65% |
5332
107.1 IPS |
