Unknown
Geekbench AI Score
7482
Single Precision Score
8037
Half Precision Score
5323
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 19 2025 12:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon (TM) RX 480 Series |
| System Information | |
|---|---|
| Operating System | Windows 6.2 (64-bit) |
| Model | Unknown |
| Motherboard | |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3500X |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2892
537.9 IPS |
|
|
Image Classification (HP)
|
100% |
3417
635.4 IPS |
|
|
Image Classification (Q)
|
100% |
2377
442.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
3763
61.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4051
65.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3119
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
47932
55.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
52654
61.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
39887
46.7 IPS |
|
|
Object Detection (SP)
|
100% |
3303
262.0 IPS |
|
|
Object Detection (HP)
|
100% |
3425
271.7 IPS |
|
|
Object Detection (Q)
|
88% |
2731
219.0 IPS |
|
|
Face Detection (SP)
|
100% |
9196
109.3 IPS |
|
|
Face Detection (HP)
|
100% |
11581
137.6 IPS |
|
|
Face Detection (Q)
|
97% |
7210
86.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17583
135.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
19558
151.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
12723
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
77805
100.0 IPS |
|
|
Style Transfer (HP)
|
100% |
83360
107.2 IPS |
|
|
Style Transfer (Q)
|
98% |
58892
75.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
11273
416.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12092
446.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7069
261.8 IPS |
|
|
Text Classification (SP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1006
1.34 KIPS |
|
|
Text Classification (Q)
|
97% |
664
890.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1997
34.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1963
33.9 IPS |
|
|
Machine Translation (Q)
|
70% |
893
16.7 IPS |
