Micro-Star International Co., Ltd. MS-7D23
Geekbench AI Score
1128
Single Precision Score
1196
Half Precision Score
775
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | shimonocyou |
| Upload Date | August 25 2024 03:39 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 730 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D23 |
| Motherboard | Micro-Star International Co., Ltd. H510M PRO-E (MS-7D23) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-11400 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 167 Stepping 1 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
469
87.3 IPS |
|
|
Image Classification (HP)
|
100% |
482
89.6 IPS |
|
|
Image Classification (Q)
|
100% |
392
72.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
808
13.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
566
9.20 IPS |
|
|
Pose Estimation (SP)
|
100% |
3216
3.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
3813
4.45 IPS |
|
|
Pose Estimation (Q)
|
96% |
2382
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
533
42.3 IPS |
|
|
Object Detection (HP)
|
98% |
482
38.4 IPS |
|
|
Object Detection (Q)
|
89% |
437
35.0 IPS |
|
|
Face Detection (SP)
|
100% |
1019
12.1 IPS |
|
|
Face Detection (HP)
|
100% |
1074
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
733
8.74 IPS |
|
|
Depth Estimation (SP)
|
100% |
2064
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2250
17.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
1536
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6831
8.78 IPS |
|
|
Style Transfer (HP)
|
100% |
9589
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
5303
6.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1204
44.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
680
25.2 IPS |
|
|
Text Classification (SP)
|
100% |
580
774.3 IPS |
|
|
Text Classification (HP)
|
100% |
382
510.5 IPS |
|
|
Text Classification (Q)
|
97% |
323
432.9 IPS |
|
|
Machine Translation (SP)
|
100% |
566
9.75 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
60% |
261
5.83 IPS |
