ASRock X670E Taichi Carrara
Geekbench AI Score
35205
Single Precision Score
48351
Half Precision Score
26288
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 12:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| 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% |
12907
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
16800
3.13 KIPS |
|
|
Image Classification (Q)
|
100% |
10832
2.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21801
353.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26329
426.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
19685
320.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
293667
342.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
506238
590.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
260032
304.5 IPS |
|
|
Object Detection (SP)
|
100% |
16911
1.34 KIPS |
|
|
Object Detection (HP)
|
100% |
22697
1.80 KIPS |
|
|
Object Detection (Q)
|
89% |
13804
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
46453
552.0 IPS |
|
|
Face Detection (HP)
|
100% |
57022
677.5 IPS |
|
|
Face Detection (Q)
|
97% |
38660
461.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
87852
676.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
145203
1.12 KIPS |
|
|
Depth Estimation (Q)
|
75% |
63708
513.9 IPS |
|
|
Style Transfer (SP)
|
100% |
528518
679.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1020449
1.31 KIPS |
|
|
Style Transfer (Q)
|
98% |
467191
602.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55544
2.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
73294
2.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40797
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3537
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4561
6.09 KIPS |
|
|
Text Classification (Q)
|
97% |
2126
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4865
83.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2064
46.0 IPS |
