ASUS System Product Name
Geekbench AI Score
7762
Single Precision Score
8444
Half Precision Score
5537
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | MrCrispr |
| Upload Date | February 24 2025 03:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon RX 580 Series |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR VIII DARK HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2879
535.4 IPS |
|
|
Image Classification (HP)
|
100% |
3707
689.3 IPS |
|
|
Image Classification (Q)
|
100% |
2284
424.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3955
64.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4310
69.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3318
54.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
50230
58.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53747
62.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
41369
48.5 IPS |
|
|
Object Detection (SP)
|
100% |
3261
258.7 IPS |
|
|
Object Detection (HP)
|
100% |
3666
290.8 IPS |
|
|
Object Detection (Q)
|
89% |
2703
216.5 IPS |
|
|
Face Detection (SP)
|
100% |
8788
104.4 IPS |
|
|
Face Detection (HP)
|
100% |
11039
131.2 IPS |
|
|
Face Detection (Q)
|
97% |
6609
78.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
19906
153.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22831
175.9 IPS |
|
|
Depth Estimation (Q)
|
72% |
14010
115.4 IPS |
|
|
Style Transfer (SP)
|
100% |
83705
107.6 IPS |
|
|
Style Transfer (HP)
|
100% |
92475
118.9 IPS |
|
|
Style Transfer (Q)
|
98% |
64196
82.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13128
484.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14026
517.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8662
320.7 IPS |
|
|
Text Classification (SP)
|
100% |
1318
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (Q)
|
97% |
784
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1682
29.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1863
32.2 IPS |
|
|
Machine Translation (Q)
|
60% |
792
17.9 IPS |
