ASUS System Product Name
Geekbench AI Score
6872
Single Precision Score
7325
Half Precision Score
4793
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 19 2024 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon (TM) RX 480 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII EXTREME |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2610
485.3 IPS |
|
|
Image Classification (HP)
|
100% |
3037
564.8 IPS |
|
|
Image Classification (Q)
|
99% |
2049
382.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3473
56.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3723
60.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2931
47.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
40263
47.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
43673
51.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
33342
39.1 IPS |
|
|
Object Detection (SP)
|
100% |
2982
236.5 IPS |
|
|
Object Detection (HP)
|
100% |
3105
246.3 IPS |
|
|
Object Detection (Q)
|
89% |
2304
184.5 IPS |
|
|
Face Detection (SP)
|
100% |
7971
94.7 IPS |
|
|
Face Detection (HP)
|
100% |
9563
113.6 IPS |
|
|
Face Detection (Q)
|
97% |
5928
70.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17136
132.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
18807
145.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
12236
98.1 IPS |
|
|
Style Transfer (SP)
|
100% |
73130
94.0 IPS |
|
|
Style Transfer (HP)
|
100% |
79270
101.9 IPS |
|
|
Style Transfer (Q)
|
98% |
56362
72.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11153
411.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12021
443.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7117
263.5 IPS |
|
|
Text Classification (SP)
|
100% |
1123
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
993
1.32 KIPS |
|
|
Text Classification (Q)
|
97% |
667
893.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1725
29.7 IPS |
|
|
Machine Translation (HP)
|
96% |
1706
29.5 IPS |
|
|
Machine Translation (Q)
|
60% |
715
16.1 IPS |
