X570 Taichi
Geekbench AI Score
5199
Single Precision Score
5228
Half Precision Score
8404
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 11 2024 03:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
3789
704.7 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (Q)
|
100% |
5822
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1895
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
6301
102.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11193
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
11528
13.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
24836
29.1 IPS |
|
|
Object Detection (SP)
|
100% |
4067
322.6 IPS |
|
|
Object Detection (HP)
|
100% |
3904
309.7 IPS |
|
|
Object Detection (Q)
|
87% |
6404
513.6 IPS |
|
|
Face Detection (SP)
|
100% |
7505
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
7122
84.6 IPS |
|
|
Face Detection (Q)
|
97% |
20637
246.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10704
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10961
84.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
21295
168.1 IPS |
|
|
Style Transfer (SP)
|
100% |
32663
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
32813
42.2 IPS |
|
|
Style Transfer (Q)
|
98% |
70192
90.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6565
242.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6269
231.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12403
459.4 IPS |
|
|
Text Classification (SP)
|
100% |
940
1.25 KIPS |
|
|
Text Classification (HP)
|
100% |
950
1.27 KIPS |
|
|
Text Classification (Q)
|
91% |
293
393.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2728
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2864
49.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2688
46.3 IPS |
