ASRock X670E Taichi Carrara
Geekbench AI Score
3475
Single Precision Score
1564
Half Precision Score
4588
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 17 2024 01:02 PM |
| 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% |
1612
299.8 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.4 IPS |
|
|
Image Classification (Q)
|
99% |
4419
824.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
764
12.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3027
49.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9395
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7311
8.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
36330
42.6 IPS |
|
|
Object Detection (SP)
|
100% |
1972
156.4 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.4 IPS |
|
|
Object Detection (Q)
|
88% |
1945
155.9 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
1320
15.7 IPS |
|
|
Face Detection (Q)
|
97% |
4763
56.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8022
61.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2424
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
8460
67.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19636
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19255
24.8 IPS |
|
|
Style Transfer (Q)
|
98% |
30634
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2465
91.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2218
81.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3446
127.6 IPS |
|
|
Text Classification (SP)
|
100% |
1472
1.96 KIPS |
|
|
Text Classification (HP)
|
100% |
638
852.0 IPS |
|
|
Text Classification (Q)
|
97% |
428
573.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2348
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (Q)
|
60% |
2402
53.6 IPS |
