X570 PG Velocita
Geekbench AI Score
16864
Single Precision Score
27412
Half Precision Score
13539
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 08:48 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 PG Velocita |
| Motherboard | ASRock X570 PG Velocita |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6917
1.29 KIPS |
|
|
Image Classification (HP)
|
99% |
11549
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
6365
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11023
178.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14335
232.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
10147
165.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
88925
103.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
238630
278.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
77802
91.2 IPS |
|
|
Object Detection (SP)
|
100% |
8537
677.2 IPS |
|
|
Object Detection (HP)
|
100% |
14159
1.12 KIPS |
|
|
Object Detection (Q)
|
84% |
7531
607.4 IPS |
|
|
Face Detection (SP)
|
100% |
19821
235.5 IPS |
|
|
Face Detection (HP)
|
100% |
29949
355.9 IPS |
|
|
Face Detection (Q)
|
97% |
17843
212.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
40028
308.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
79830
615.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
33385
267.1 IPS |
|
|
Style Transfer (SP)
|
100% |
146489
188.3 IPS |
|
|
Style Transfer (HP)
|
100% |
351478
451.8 IPS |
|
|
Style Transfer (Q)
|
98% |
131568
169.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27831
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43187
1.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20739
768.0 IPS |
|
|
Text Classification (SP)
|
100% |
2882
3.85 KIPS |
|
|
Text Classification (HP)
|
99% |
3286
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1864
2.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3592
61.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1806
33.9 IPS |
