Micro-Star International Co., Ltd. MS-7D25
Geekbench AI Score
1229
Single Precision Score
1808
Half Precision Score
2961
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 04 2024 04:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D25 |
| Motherboard | Micro-Star International Co., Ltd. PRO Z690-A WIFI (MS-7D25) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
738
137.2 IPS |
|
|
Image Classification (HP)
|
100% |
1232
229.2 IPS |
|
|
Image Classification (Q)
|
99% |
2047
381.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1768
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2754
44.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1884
2.20 IPS |
|
|
Pose Estimation (HP)
|
99% |
1404
1.64 IPS |
|
|
Pose Estimation (Q)
|
97% |
5910
6.92 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
98% |
1099
87.4 IPS |
|
|
Object Detection (Q)
|
90% |
1981
158.4 IPS |
|
|
Face Detection (SP)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3702
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
5542
65.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2268
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
3931
30.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
5578
43.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4931
6.34 IPS |
|
|
Style Transfer (HP)
|
100% |
8664
11.1 IPS |
|
|
Style Transfer (Q)
|
98% |
13249
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1475
54.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2970
110.0 IPS |
|
|
Text Classification (SP)
|
71% |
593
858.4 IPS |
|
|
Text Classification (HP)
|
71% |
714
1.03 KIPS |
|
|
Text Classification (Q)
|
92% |
767
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
546
9.40 IPS |
|
|
Machine Translation (HP)
|
98% |
838
14.5 IPS |
|
|
Machine Translation (Q)
|
100% |
842
14.5 IPS |
