AMD MAPLE
Geekbench ML Score
15343
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 06:42 AM |
| Views | 3 |
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% |
8318
1.56 KIPS |
|
|
Image Classification (F16)
|
100% |
8319
1.56 KIPS |
|
|
Image Classification (I8)
|
100% |
7422
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12951
216.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
12928
215.9 IPS |
|
|
Image Segmentation (I8)
|
98% |
11696
195.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
69086
83.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
72960
88.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
64719
78.4 IPS |
|
|
Object Detection (F32)
|
100% |
3576
267.0 IPS |
|
|
Object Detection (F16)
|
100% |
3541
264.4 IPS |
|
|
Object Detection (I8)
|
62% |
3384
252.6 IPS |
|
|
Face Detection (F32)
|
100% |
21424
254.7 IPS |
|
|
Face Detection (F16)
|
100% |
20916
248.7 IPS |
|
|
Face Detection (I8)
|
89% |
16659
198.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
34394
266.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
34913
270.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
30871
239.4 IPS |
|
|
Style Transfer (F32)
|
100% |
128180
168.6 IPS |
|
|
Style Transfer (F16)
|
100% |
134023
176.3 IPS |
|
|
Style Transfer (I8)
|
98% |
117794
154.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24337
869.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24705
882.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20158
719.9 IPS |
|
|
Text Classification (F32)
|
100% |
3664
5.27 KIPS |
|
|
Text Classification (F16)
|
100% |
3615
5.20 KIPS |
|
|
Text Classification (I8)
|
98% |
2673
3.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
5760
106.0 IPS |
|
|
Machine Translation (F16)
|
100% |
5808
106.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3347
61.6 IPS |
