X570 Taichi
Geekbench AI Score
6204
Single Precision Score
6200
Half Precision Score
8777
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sicKlown |
| Upload Date | September 09 2024 02:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
4178
776.9 IPS |
|
|
Image Classification (HP)
|
100% |
4279
795.9 IPS |
|
|
Image Classification (Q)
|
100% |
6343
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2885
46.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2698
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7107
115.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13467
15.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13471
15.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
29026
34.0 IPS |
|
|
Object Detection (SP)
|
100% |
4647
368.6 IPS |
|
|
Object Detection (HP)
|
100% |
4799
380.7 IPS |
|
|
Object Detection (Q)
|
87% |
7233
580.1 IPS |
|
|
Face Detection (SP)
|
100% |
10367
123.2 IPS |
|
|
Face Detection (HP)
|
100% |
10452
124.2 IPS |
|
|
Face Detection (Q)
|
97% |
22763
271.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
12732
98.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
12831
98.9 IPS |
|
|
Depth Estimation (Q)
|
79% |
23324
185.0 IPS |
|
|
Style Transfer (SP)
|
100% |
38045
48.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38078
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
77929
100.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7025
259.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7086
261.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13175
488.0 IPS |
|
|
Text Classification (SP)
|
100% |
996
1.33 KIPS |
|
|
Text Classification (HP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (Q)
|
91% |
291
391.4 IPS |
|
|
Machine Translation (SP)
|
100% |
3188
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3134
54.0 IPS |
|
|
Machine Translation (Q)
|
90% |
1808
31.4 IPS |
