Micro-Star International Co., Ltd. MS-7D17
Geekbench AI Score
877
Single Precision Score
979
Half Precision Score
666
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | stan115 |
| Upload Date | November 04 2024 03:24 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| 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% |
347
64.5 IPS |
|
|
Image Classification (HP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (Q)
|
99% |
333
62.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
565
9.16 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.93 IPS |
|
|
Image Segmentation (Q)
|
98% |
457
7.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
2201
2.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3525
4.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
1984
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
422
33.5 IPS |
|
|
Object Detection (HP)
|
98% |
427
34.0 IPS |
|
|
Object Detection (Q)
|
89% |
349
27.9 IPS |
|
|
Face Detection (SP)
|
100% |
784
9.32 IPS |
|
|
Face Detection (HP)
|
100% |
838
9.96 IPS |
|
|
Face Detection (Q)
|
97% |
605
7.21 IPS |
|
|
Depth Estimation (SP)
|
100% |
1581
12.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1910
14.8 IPS |
|
|
Depth Estimation (Q)
|
75% |
1279
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5627
7.23 IPS |
|
|
Style Transfer (HP)
|
100% |
8368
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
4740
6.11 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1119
41.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1566
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
827
30.6 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.8 IPS |
|
|
Text Classification (HP)
|
100% |
292
389.8 IPS |
|
|
Text Classification (Q)
|
97% |
249
333.9 IPS |
|
|
Machine Translation (SP)
|
100% |
432
7.45 IPS |
|
|
Machine Translation (HP)
|
100% |
373
6.42 IPS |
|
|
Machine Translation (Q)
|
60% |
216
4.82 IPS |
