ASUS DirectML RX590 gme gpu ai ASUS All Series
Geekbench AI Score
7468
Single Precision Score
7999
Half Precision Score
5157
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | zanad400 |
| Upload Date | September 11 2024 05:55 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX590 GME |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | ASUS All Series |
| Motherboard | ASUSTeK COMPUTER INC. MAXIMUS VI HERO |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-4670K |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2832
526.6 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.4 IPS |
|
|
Image Classification (Q)
|
99% |
2153
401.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3283
53.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4084
66.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3187
51.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
57398
67.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
58408
68.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
44475
52.1 IPS |
|
|
Object Detection (SP)
|
100% |
3147
249.6 IPS |
|
|
Object Detection (HP)
|
100% |
3195
253.4 IPS |
|
|
Object Detection (Q)
|
89% |
2347
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
8229
97.8 IPS |
|
|
Face Detection (HP)
|
100% |
9772
116.1 IPS |
|
|
Face Detection (Q)
|
97% |
5345
63.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
17470
134.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
19801
153.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
12565
100.8 IPS |
|
|
Style Transfer (SP)
|
100% |
82027
105.4 IPS |
|
|
Style Transfer (HP)
|
100% |
91019
117.0 IPS |
|
|
Style Transfer (Q)
|
98% |
63721
82.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11672
431.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12453
459.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7491
277.4 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.77 KIPS |
|
|
Text Classification (HP)
|
100% |
1084
1.45 KIPS |
|
|
Text Classification (Q)
|
97% |
782
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1793
31.0 IPS |
|
|
Machine Translation (Q)
|
60% |
741
16.7 IPS |
