X570 Taichi
Geekbench AI Score
3585
Single Precision Score
1511
Half Precision Score
3787
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:13 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1633
303.7 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
96% |
3438
642.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
782
12.7 IPS |
|
|
Image Segmentation (Q)
|
97% |
2767
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10596
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
6408
7.48 IPS |
|
|
Pose Estimation (Q)
|
87% |
20826
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
2080
165.0 IPS |
|
|
Object Detection (HP)
|
100% |
618
49.0 IPS |
|
|
Object Detection (Q)
|
86% |
1806
145.2 IPS |
|
|
Face Detection (SP)
|
100% |
3015
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
1405
16.7 IPS |
|
|
Face Detection (Q)
|
96% |
4325
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
9126
70.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2341
18.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
7385
59.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23648
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19206
24.7 IPS |
|
|
Style Transfer (Q)
|
87% |
19614
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2518
93.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3330
123.4 IPS |
|
|
Text Classification (SP)
|
100% |
1340
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
579
772.4 IPS |
|
|
Text Classification (Q)
|
97% |
403
539.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2152
37.1 IPS |
|
|
Machine Translation (HP)
|
100% |
585
10.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2019
45.0 IPS |
