AMD MAPLE
Geekbench ML Score
14503
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 03 2025 11:17 AM |
| Views | 2 |
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% |
8383
1.57 KIPS |
|
|
Image Classification (F16)
|
100% |
8338
1.56 KIPS |
|
|
Image Classification (I8)
|
100% |
7262
1.36 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12828
214.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
13058
218.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
12014
200.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
69112
83.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
60006
72.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
55415
67.1 IPS |
|
|
Object Detection (F32)
|
100% |
3044
227.2 IPS |
|
|
Object Detection (F16)
|
100% |
3395
253.4 IPS |
|
|
Object Detection (I8)
|
62% |
2866
214.0 IPS |
|
|
Face Detection (F32)
|
100% |
16882
200.7 IPS |
|
|
Face Detection (F16)
|
100% |
21083
250.7 IPS |
|
|
Face Detection (I8)
|
89% |
14650
174.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
28315
219.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
28495
221.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
24960
193.6 IPS |
|
|
Style Transfer (F32)
|
100% |
139094
183.0 IPS |
|
|
Style Transfer (F16)
|
100% |
128420
168.9 IPS |
|
|
Style Transfer (I8)
|
98% |
113474
149.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23272
831.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24441
872.9 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20422
729.3 IPS |
|
|
Text Classification (F32)
|
100% |
3599
5.17 KIPS |
|
|
Text Classification (F16)
|
100% |
3643
5.24 KIPS |
|
|
Text Classification (I8)
|
98% |
2688
3.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
5826
107.2 IPS |
|
|
Machine Translation (F16)
|
100% |
5772
106.2 IPS |
|
|
Machine Translation (I8)
|
70% |
3426
63.1 IPS |
