X570 PG Velocita
Geekbench AI Score
2086
Single Precision Score
950
Half Precision Score
2347
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | April 07 2025 08:52 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 3700X |
| 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% |
1568
291.6 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
96% |
2353
439.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
415
6.73 IPS |
|
|
Image Segmentation (Q)
|
97% |
1288
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3773
4.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
3024
3.53 IPS |
|
|
Pose Estimation (Q)
|
86% |
5156
6.10 IPS |
|
|
Object Detection (SP)
|
100% |
1540
122.1 IPS |
|
|
Object Detection (HP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (Q)
|
58% |
1513
165.4 IPS |
|
|
Face Detection (SP)
|
100% |
3368
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
1016
12.1 IPS |
|
|
Face Detection (Q)
|
96% |
5004
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4850
37.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
5533
44.1 IPS |
|
|
Style Transfer (SP)
|
100% |
9010
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
7136
9.17 IPS |
|
|
Style Transfer (Q)
|
87% |
9987
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1356
50.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1257
46.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1518
56.3 IPS |
|
|
Text Classification (SP)
|
100% |
954
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.1 IPS |
|
|
Text Classification (Q)
|
97% |
329
440.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1317
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (Q)
|
68% |
1558
30.1 IPS |
