System manufacturer System Product Name
Geekbench AI Score
2853
Single Precision Score
3807
Half Precision Score
2107
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | howells |
| Upload Date | August 21 2024 10:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING X570-PLUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600G |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1045
194.3 IPS |
|
|
Image Classification (HP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (Q)
|
99% |
886
165.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1396
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1183
19.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10836
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19134
22.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
9323
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1140
90.5 IPS |
|
|
Object Detection (HP)
|
100% |
1446
114.7 IPS |
|
|
Object Detection (Q)
|
89% |
924
74.0 IPS |
|
|
Face Detection (SP)
|
100% |
2822
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
3768
44.8 IPS |
|
|
Face Detection (Q)
|
97% |
2178
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6068
46.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8510
65.6 IPS |
|
|
Depth Estimation (Q)
|
72% |
4593
37.9 IPS |
|
|
Style Transfer (SP)
|
100% |
18932
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30949
39.8 IPS |
|
|
Style Transfer (Q)
|
98% |
15918
20.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3993
147.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5851
216.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2861
105.9 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1062
1.42 KIPS |
|
|
Text Classification (Q)
|
97% |
652
872.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1532
26.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1688
29.1 IPS |
|
|
Machine Translation (Q)
|
60% |
645
14.5 IPS |
