X570 Phantom Gaming 4
Geekbench AI Score
3294
Single Precision Score
816
Half Precision Score
3712
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jcardoso |
| Upload Date | August 15 2024 09:47 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Phantom Gaming 4 |
| Motherboard | ASRock X570 Phantom Gaming 4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1571
292.2 IPS |
|
|
Image Classification (HP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (Q)
|
97% |
3410
636.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
245
3.97 IPS |
|
|
Image Segmentation (Q)
|
97% |
2501
40.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8485
9.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
5579
6.51 IPS |
|
|
Pose Estimation (Q)
|
87% |
16839
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.8 IPS |
|
|
Object Detection (HP)
|
100% |
210
16.7 IPS |
|
|
Object Detection (Q)
|
86% |
1824
146.6 IPS |
|
|
Face Detection (SP)
|
100% |
2792
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
309
3.67 IPS |
|
|
Face Detection (Q)
|
96% |
4328
51.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7406
57.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1008
7.76 IPS |
|
|
Depth Estimation (Q)
|
76% |
7961
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19466
25.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15382
19.8 IPS |
|
|
Style Transfer (Q)
|
87% |
19999
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2398
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3069
113.7 IPS |
|
|
Text Classification (SP)
|
100% |
1478
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
571
761.6 IPS |
|
|
Text Classification (Q)
|
97% |
412
552.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
597
10.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2179
48.6 IPS |
