A520M Pro4
Geekbench AI Score
23334
Single Precision Score
35200
Half Precision Score
14333
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mohnishi |
| Upload Date | December 07 2025 06:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A6000 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | A520M Pro4 |
| Motherboard | ASRock A520M Pro4 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9096
1.69 KIPS |
|
|
Image Classification (HP)
|
99% |
12665
2.36 KIPS |
|
|
Image Classification (Q)
|
100% |
6237
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14931
242.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21383
346.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
10978
178.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
166943
194.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
347408
405.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
124199
145.5 IPS |
|
|
Object Detection (SP)
|
100% |
12050
955.8 IPS |
|
|
Object Detection (HP)
|
100% |
17012
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
8120
653.2 IPS |
|
|
Face Detection (SP)
|
100% |
29199
346.9 IPS |
|
|
Face Detection (HP)
|
100% |
43520
517.1 IPS |
|
|
Face Detection (Q)
|
97% |
19856
236.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
60738
467.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104907
808.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36116
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
254346
327.0 IPS |
|
|
Style Transfer (HP)
|
100% |
603284
775.5 IPS |
|
|
Style Transfer (Q)
|
98% |
180533
232.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36581
1.35 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
51844
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20625
763.7 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
99% |
3155
4.21 KIPS |
|
|
Text Classification (Q)
|
97% |
1366
1.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4072
70.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4050
69.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1453
27.2 IPS |
