Micro-Star International Co., Ltd. MS-7D31
Geekbench AI Score
2469
Single Precision Score
3387
Half Precision Score
5051
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | July 01 2025 08:39 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 770 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D31 |
| Motherboard | Micro-Star International Co., Ltd. MPG Z690 EDGE TI WIFI (MS-7D31) |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700 |
| Topology | 1 Processor, 16 Cores, 24 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1551
288.4 IPS |
|
|
Image Classification (HP)
|
100% |
2609
485.2 IPS |
|
|
Image Classification (Q)
|
99% |
3989
744.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2379
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3805
61.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4490
72.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4363
5.09 IPS |
|
|
Pose Estimation (HP)
|
99% |
3180
3.71 IPS |
|
|
Pose Estimation (Q)
|
97% |
13123
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1413
112.1 IPS |
|
|
Object Detection (HP)
|
98% |
2250
179.0 IPS |
|
|
Object Detection (Q)
|
90% |
3737
298.8 IPS |
|
|
Face Detection (SP)
|
100% |
4939
58.7 IPS |
|
|
Face Detection (HP)
|
100% |
7616
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
8396
99.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4973
38.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8305
64.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
11300
87.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11238
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17677
22.7 IPS |
|
|
Style Transfer (Q)
|
98% |
29676
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2018
74.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3309
122.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6741
249.7 IPS |
|
|
Text Classification (SP)
|
71% |
904
1.31 KIPS |
|
|
Text Classification (HP)
|
71% |
847
1.22 KIPS |
|
|
Text Classification (Q)
|
92% |
726
974.9 IPS |
|
|
Machine Translation (SP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (HP)
|
98% |
895
15.5 IPS |
|
|
Machine Translation (Q)
|
100% |
894
15.4 IPS |
