X570 Taichi
Geekbench AI Score
3765
Single Precision Score
908
Half Precision Score
4232
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sicKlown |
| Upload Date | September 09 2024 02:10 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
155
28.7 IPS |
|
|
Image Classification (Q)
|
97% |
3765
702.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2207
35.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
256
4.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
2843
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11559
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
7170
8.37 IPS |
|
|
Pose Estimation (Q)
|
87% |
24029
28.4 IPS |
|
|
Object Detection (SP)
|
100% |
2283
181.1 IPS |
|
|
Object Detection (HP)
|
100% |
218
17.3 IPS |
|
|
Object Detection (Q)
|
86% |
1937
155.7 IPS |
|
|
Face Detection (SP)
|
100% |
3413
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
324
3.84 IPS |
|
|
Face Detection (Q)
|
96% |
4757
56.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8643
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.39 IPS |
|
|
Depth Estimation (Q)
|
76% |
9098
73.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23895
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21321
27.4 IPS |
|
|
Style Transfer (Q)
|
87% |
23388
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2406
88.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2137
78.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3426
127.0 IPS |
|
|
Text Classification (SP)
|
100% |
1480
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
603
804.3 IPS |
|
|
Text Classification (Q)
|
97% |
425
569.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
638
11.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2515
56.1 IPS |
