X570 Taichi
Geekbench AI Score
30385
Single Precision Score
33637
Half Precision Score
24043
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| 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% |
12118
2.25 KIPS |
|
|
Image Classification (HP)
|
100% |
13320
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
10222
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17185
278.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15836
256.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
15895
258.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
273927
319.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
375790
438.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
239396
280.5 IPS |
|
|
Object Detection (SP)
|
100% |
14765
1.17 KIPS |
|
|
Object Detection (HP)
|
99% |
14630
1.16 KIPS |
|
|
Object Detection (Q)
|
89% |
12835
1.03 KIPS |
|
|
Face Detection (SP)
|
100% |
36255
430.8 IPS |
|
|
Face Detection (HP)
|
100% |
39201
465.8 IPS |
|
|
Face Detection (Q)
|
97% |
31623
377.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
71996
554.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
83659
644.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
62188
501.4 IPS |
|
|
Style Transfer (SP)
|
100% |
427497
549.6 IPS |
|
|
Style Transfer (HP)
|
100% |
596502
766.8 IPS |
|
|
Style Transfer (Q)
|
98% |
389893
502.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48253
1.78 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56002
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36451
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
4362
5.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3796
5.07 KIPS |
|
|
Text Classification (Q)
|
97% |
2478
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3845
66.2 IPS |
|
|
Machine Translation (Q)
|
60% |
1867
41.6 IPS |
