Micro-Star International Co., Ltd. MS-7E42
Geekbench AI Score
3197
Single Precision Score
3221
Half Precision Score
2280
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| Upload Date | June 15 2025 05:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| 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% |
2605
484.5 IPS |
|
|
Image Classification (HP)
|
100% |
2669
496.4 IPS |
|
|
Image Classification (Q)
|
99% |
1758
328.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
3695
59.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3691
59.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1609
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3936
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3899
4.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
5164
6.05 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (Q)
|
85% |
1839
148.0 IPS |
|
|
Face Detection (SP)
|
100% |
4556
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
4312
51.2 IPS |
|
|
Face Detection (Q)
|
97% |
3394
40.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3790
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
3710
28.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2864
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4704
6.05 IPS |
|
|
Style Transfer (HP)
|
100% |
4753
6.11 IPS |
|
|
Style Transfer (Q)
|
98% |
8826
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2542
93.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2685
99.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2428
90.0 IPS |
|
|
Text Classification (SP)
|
100% |
1649
2.20 KIPS |
|
|
Text Classification (HP)
|
100% |
1682
2.25 KIPS |
|
|
Text Classification (Q)
|
92% |
962
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
3242
55.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3292
56.7 IPS |
|
|
Machine Translation (Q)
|
58% |
708
16.6 IPS |
