AMD MAPLE
Geekbench ML Score
15100
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 06:42 AM |
| 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% |
8355
1.56 KIPS |
|
|
Image Classification (F16)
|
100% |
8209
1.54 KIPS |
|
|
Image Classification (I8)
|
100% |
7318
1.37 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12729
212.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
12368
206.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
11315
189.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
72711
88.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
72731
88.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
64893
78.6 IPS |
|
|
Object Detection (F32)
|
100% |
3450
257.6 IPS |
|
|
Object Detection (F16)
|
100% |
3923
292.9 IPS |
|
|
Object Detection (I8)
|
62% |
3922
292.8 IPS |
|
|
Face Detection (F32)
|
100% |
21175
251.8 IPS |
|
|
Face Detection (F16)
|
100% |
17066
202.9 IPS |
|
|
Face Detection (I8)
|
89% |
14025
166.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
32067
248.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
30881
239.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
25213
195.5 IPS |
|
|
Style Transfer (F32)
|
100% |
128439
169.0 IPS |
|
|
Style Transfer (F16)
|
100% |
128934
169.6 IPS |
|
|
Style Transfer (I8)
|
98% |
120025
157.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23298
832.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23233
829.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21396
764.1 IPS |
|
|
Text Classification (F32)
|
100% |
3883
5.58 KIPS |
|
|
Text Classification (F16)
|
100% |
3901
5.61 KIPS |
|
|
Text Classification (I8)
|
98% |
2720
3.91 KIPS |
|
|
Machine Translation (F32)
|
100% |
6008
110.6 IPS |
|
|
Machine Translation (F16)
|
100% |
5836
107.4 IPS |
|
|
Machine Translation (I8)
|
70% |
3421
63.0 IPS |
