X570 Phantom Gaming 4
Geekbench AI Score
20267
Single Precision Score
21142
Half Precision Score
15706
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 30 2024 05:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6700 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | X570 Phantom Gaming 4 |
| Motherboard | ASRock X570 Phantom Gaming 4 |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9118
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
6967
1.30 KIPS |
|
|
Image Classification (Q)
|
100% |
7767
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13535
219.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
10305
167.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
11101
180.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
117700
137.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
178851
208.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
99280
116.3 IPS |
|
|
Object Detection (SP)
|
100% |
9073
719.6 IPS |
|
|
Object Detection (HP)
|
100% |
7084
561.9 IPS |
|
|
Object Detection (Q)
|
87% |
7893
633.9 IPS |
|
|
Face Detection (SP)
|
100% |
27357
325.1 IPS |
|
|
Face Detection (HP)
|
100% |
30301
360.0 IPS |
|
|
Face Detection (Q)
|
97% |
21608
257.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
49707
383.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
56042
431.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
37650
302.3 IPS |
|
|
Style Transfer (SP)
|
100% |
210272
270.3 IPS |
|
|
Style Transfer (HP)
|
100% |
261501
336.2 IPS |
|
|
Style Transfer (Q)
|
98% |
168915
217.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34486
1.27 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39965
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24159
894.6 IPS |
|
|
Text Classification (SP)
|
100% |
2071
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2508
3.35 KIPS |
|
|
Text Classification (Q)
|
97% |
1650
2.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4346
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4408
75.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2468
46.3 IPS |
