X570 Phantom Gaming 4
Geekbench AI Score
25997
Single Precision Score
28673
Half Precision Score
19583
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| User | jcardoso |
| Upload Date | August 15 2024 09:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6800 XT |
| 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% |
10746
2.00 KIPS |
|
|
Image Classification (HP)
|
100% |
10404
1.93 KIPS |
|
|
Image Classification (Q)
|
100% |
8581
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14864
241.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13942
226.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
13770
223.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
187460
218.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
275138
321.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
155209
181.9 IPS |
|
|
Object Detection (SP)
|
100% |
11243
891.8 IPS |
|
|
Object Detection (HP)
|
100% |
11388
903.3 IPS |
|
|
Object Detection (Q)
|
89% |
9524
762.7 IPS |
|
|
Face Detection (SP)
|
100% |
30891
367.0 IPS |
|
|
Face Detection (HP)
|
100% |
33704
400.5 IPS |
|
|
Face Detection (Q)
|
97% |
23940
285.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
62241
479.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
68058
524.3 IPS |
|
|
Depth Estimation (Q)
|
73% |
46272
377.8 IPS |
|
|
Style Transfer (SP)
|
100% |
303107
389.6 IPS |
|
|
Style Transfer (HP)
|
100% |
411443
528.9 IPS |
|
|
Style Transfer (Q)
|
98% |
247658
319.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38948
1.44 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45444
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28642
1.06 KIPS |
|
|
Text Classification (SP)
|
100% |
3856
5.15 KIPS |
|
|
Text Classification (HP)
|
100% |
3957
5.28 KIPS |
|
|
Text Classification (Q)
|
97% |
2565
3.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4787
82.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4870
83.9 IPS |
|
|
Machine Translation (Q)
|
60% |
2357
52.6 IPS |
