X370 Taichi
Geekbench AI Score
5148
Single Precision Score
5052
Half Precision Score
7358
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 07:08 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | X370 Taichi |
| Motherboard | ASRock X370 Taichi |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2864
532.5 IPS |
|
|
Image Classification (HP)
|
100% |
2678
498.1 IPS |
|
|
Image Classification (Q)
|
100% |
4879
907.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3881
62.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3782
61.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
6710
109.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8976
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
9041
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
19843
23.3 IPS |
|
|
Object Detection (SP)
|
100% |
3094
245.4 IPS |
|
|
Object Detection (HP)
|
100% |
3092
245.3 IPS |
|
|
Object Detection (Q)
|
87% |
5649
453.1 IPS |
|
|
Face Detection (SP)
|
100% |
7483
88.9 IPS |
|
|
Face Detection (HP)
|
100% |
6670
79.2 IPS |
|
|
Face Detection (Q)
|
97% |
16407
195.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8208
63.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
16732
132.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26590
34.2 IPS |
|
|
Style Transfer (HP)
|
100% |
26598
34.2 IPS |
|
|
Style Transfer (Q)
|
98% |
54398
70.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5008
184.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5245
193.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
9550
353.7 IPS |
|
|
Text Classification (SP)
|
100% |
2210
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
2199
2.94 KIPS |
|
|
Text Classification (Q)
|
91% |
391
525.6 IPS |
|
|
Machine Translation (SP)
|
100% |
2286
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2278
39.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2276
39.2 IPS |
