X570 Taichi
Geekbench AI Score
37128
Single Precision Score
50874
Half Precision Score
27962
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | sicKlown |
| Upload Date | September 09 2024 02:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | X570 Taichi |
| Motherboard | ASRock X570 Taichi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13804
2.57 KIPS |
|
|
Image Classification (HP)
|
99% |
18071
3.37 KIPS |
|
|
Image Classification (Q)
|
100% |
11574
2.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21904
355.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26622
431.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
20279
329.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
317315
370.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
563399
657.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
264590
309.8 IPS |
|
|
Object Detection (SP)
|
100% |
18450
1.46 KIPS |
|
|
Object Detection (HP)
|
100% |
23940
1.90 KIPS |
|
|
Object Detection (Q)
|
89% |
15834
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
53514
635.9 IPS |
|
|
Face Detection (HP)
|
100% |
65066
773.1 IPS |
|
|
Face Detection (Q)
|
97% |
44246
527.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
95164
733.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
162161
1.25 KIPS |
|
|
Depth Estimation (Q)
|
75% |
69779
563.3 IPS |
|
|
Style Transfer (SP)
|
100% |
543320
698.4 IPS |
|
|
Style Transfer (HP)
|
100% |
1081918
1.39 KIPS |
|
|
Style Transfer (Q)
|
98% |
465315
600.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58009
2.14 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76989
2.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43791
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4135
5.52 KIPS |
|
|
Text Classification (Q)
|
97% |
2190
2.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
5016
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4925
84.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2157
48.1 IPS |
