X570 Pro4
Geekbench AI Score
17673
Single Precision Score
29458
Half Precision Score
14215
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | X570 Pro4 |
| Motherboard | ASRock X570 Pro4 |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7164
1.33 KIPS |
|
|
Image Classification (HP)
|
99% |
12228
2.28 KIPS |
|
|
Image Classification (Q)
|
99% |
6450
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12720
206.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
17679
286.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
11576
188.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
86843
101.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
246947
288.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
78300
91.7 IPS |
|
|
Object Detection (SP)
|
100% |
8768
695.5 IPS |
|
|
Object Detection (HP)
|
100% |
14710
1.17 KIPS |
|
|
Object Detection (Q)
|
84% |
7937
640.1 IPS |
|
|
Face Detection (SP)
|
100% |
20468
243.2 IPS |
|
|
Face Detection (HP)
|
100% |
33837
402.1 IPS |
|
|
Face Detection (Q)
|
97% |
19141
228.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
43539
335.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
83424
642.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
35840
286.7 IPS |
|
|
Style Transfer (SP)
|
100% |
140307
180.4 IPS |
|
|
Style Transfer (HP)
|
100% |
347327
446.5 IPS |
|
|
Style Transfer (Q)
|
98% |
130637
168.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28142
1.04 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
44609
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21837
808.6 IPS |
|
|
Text Classification (SP)
|
100% |
2938
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
3342
4.46 KIPS |
|
|
Text Classification (Q)
|
97% |
1874
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4145
71.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4288
73.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1980
37.1 IPS |
