ASRock X670E Taichi Carrara
Geekbench AI Score
3923
Single Precision Score
1763
Half Precision Score
5023
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 09:43 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Professionnel (64-bit) |
| Model | ASRock X670E Taichi Carrara |
| Motherboard | ASRock X670E Taichi Carrara |
| Power Plan | Performances leves |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1731
322.0 IPS |
|
|
Image Classification (HP)
|
100% |
524
97.5 IPS |
|
|
Image Classification (Q)
|
99% |
4637
864.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2313
37.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
844
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3317
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11571
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8448
9.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
41874
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
2295
182.0 IPS |
|
|
Object Detection (HP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (Q)
|
88% |
2268
181.8 IPS |
|
|
Face Detection (SP)
|
100% |
3325
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
1450
17.2 IPS |
|
|
Face Detection (Q)
|
97% |
5126
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8977
69.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2685
20.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
9538
76.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23470
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22996
29.6 IPS |
|
|
Style Transfer (Q)
|
98% |
32172
41.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2765
102.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2486
91.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3763
139.3 IPS |
|
|
Text Classification (SP)
|
100% |
1583
2.11 KIPS |
|
|
Text Classification (HP)
|
100% |
739
986.5 IPS |
|
|
Text Classification (Q)
|
97% |
443
593.3 IPS |
|
|
Machine Translation (SP)
|
100% |
2650
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2670
59.6 IPS |
