AMD MAPLE
Geekbench ML Score
14587
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 16 2025 06:38 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% |
8555
1.60 KIPS |
|
|
Image Classification (F16)
|
100% |
8409
1.57 KIPS |
|
|
Image Classification (I8)
|
100% |
7554
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12668
211.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
12851
214.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
11171
186.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
65434
79.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
67666
81.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
60205
72.9 IPS |
|
|
Object Detection (F32)
|
100% |
3164
236.2 IPS |
|
|
Object Detection (F16)
|
100% |
3458
258.2 IPS |
|
|
Object Detection (I8)
|
62% |
3423
255.6 IPS |
|
|
Face Detection (F32)
|
100% |
17313
205.9 IPS |
|
|
Face Detection (F16)
|
100% |
18429
219.1 IPS |
|
|
Face Detection (I8)
|
89% |
14961
177.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
27989
217.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
32599
252.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
24375
189.0 IPS |
|
|
Style Transfer (F32)
|
100% |
125835
165.5 IPS |
|
|
Style Transfer (F16)
|
100% |
129114
169.8 IPS |
|
|
Style Transfer (I8)
|
98% |
112771
148.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25540
912.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
22254
794.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19714
704.0 IPS |
|
|
Text Classification (F32)
|
100% |
3627
5.21 KIPS |
|
|
Text Classification (F16)
|
100% |
3545
5.09 KIPS |
|
|
Text Classification (I8)
|
98% |
2682
3.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
5745
105.7 IPS |
|
|
Machine Translation (F16)
|
100% |
5789
106.5 IPS |
|
|
Machine Translation (I8)
|
70% |
3370
62.0 IPS |
