AMD MAPLE
Geekbench ML Score
14912
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 28 2025 01:06 PM |
| Views | 7 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | AMD MAPLE |
| Motherboard | AMD MAPLE-STXH |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen AI Max+ 395 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 112 Stepping 0 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 16 Cores |
| L1 Instruction Cache | 32.0 KB x 16 |
| L1 Data Cache | 48.0 KB x 16 |
| L2 Cache | 1.00 MB x 16 |
| L3 Cache | 32.0 MB x 2 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
8583
1.61 KIPS |
|
|
Image Classification (F16)
|
100% |
8548
1.60 KIPS |
|
|
Image Classification (I8)
|
100% |
7252
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13019
217.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
12652
211.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
11802
197.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
69641
84.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
62898
76.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
60277
73.0 IPS |
|
|
Object Detection (F32)
|
100% |
3306
246.8 IPS |
|
|
Object Detection (F16)
|
100% |
3565
266.1 IPS |
|
|
Object Detection (I8)
|
62% |
2723
203.3 IPS |
|
|
Face Detection (F32)
|
100% |
17373
206.6 IPS |
|
|
Face Detection (F16)
|
100% |
20772
247.0 IPS |
|
|
Face Detection (I8)
|
89% |
15343
182.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
28583
221.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
33587
260.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
25228
195.6 IPS |
|
|
Style Transfer (F32)
|
100% |
133589
175.7 IPS |
|
|
Style Transfer (F16)
|
100% |
125194
164.7 IPS |
|
|
Style Transfer (I8)
|
98% |
117811
155.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
28607
1.02 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
25234
901.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
22267
795.2 IPS |
|
|
Text Classification (F32)
|
100% |
3714
5.34 KIPS |
|
|
Text Classification (F16)
|
100% |
3789
5.45 KIPS |
|
|
Text Classification (I8)
|
98% |
2680
3.85 KIPS |
|
|
Machine Translation (F32)
|
100% |
5797
106.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5777
106.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3424
63.0 IPS |
