Micro-Star International Co., Ltd. MS-7D17
Geekbench AI Score
1373
Single Precision Score
2018
Half Precision Score
1895
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | stan115 |
| Upload Date | November 04 2024 03:50 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D17 |
| Motherboard | Micro-Star International Co., Ltd. MAG B560M MORTAR (MS-7D17) |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
849
157.8 IPS |
|
|
Image Classification (HP)
|
100% |
1331
247.5 IPS |
|
|
Image Classification (Q)
|
100% |
1213
225.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1128
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1647
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1939
2.26 IPS |
|
|
Pose Estimation (HP)
|
99% |
2065
2.42 IPS |
|
|
Pose Estimation (Q)
|
97% |
2772
3.25 IPS |
|
|
Object Detection (SP)
|
100% |
804
63.8 IPS |
|
|
Object Detection (HP)
|
99% |
1321
105.0 IPS |
|
|
Object Detection (Q)
|
88% |
1236
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
2569
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4250
50.5 IPS |
|
|
Face Detection (Q)
|
97% |
3647
43.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2423
18.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4163
32.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
3783
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5554
7.14 IPS |
|
|
Style Transfer (HP)
|
100% |
7570
9.73 IPS |
|
|
Style Transfer (Q)
|
98% |
6812
8.78 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1003
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1799
66.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1728
64.0 IPS |
|
|
Text Classification (SP)
|
71% |
648
938.0 IPS |
|
|
Text Classification (HP)
|
71% |
731
1.06 KIPS |
|
|
Text Classification (Q)
|
92% |
548
736.1 IPS |
|
|
Machine Translation (SP)
|
100% |
711
12.3 IPS |
|
|
Machine Translation (HP)
|
97% |
980
16.9 IPS |
|
|
Machine Translation (Q)
|
98% |
982
17.0 IPS |
