AMD MAPLE
Geekbench ML Score
14676
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 28 2025 01:02 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% |
8526
1.60 KIPS |
|
|
Image Classification (F16)
|
100% |
8524
1.60 KIPS |
|
|
Image Classification (I8)
|
100% |
7367
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13224
220.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
12107
202.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
11766
196.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
66804
80.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
60331
73.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
60853
73.7 IPS |
|
|
Object Detection (F32)
|
100% |
3176
237.1 IPS |
|
|
Object Detection (F16)
|
100% |
3020
225.5 IPS |
|
|
Object Detection (I8)
|
62% |
3479
259.7 IPS |
|
|
Face Detection (F32)
|
100% |
20938
249.0 IPS |
|
|
Face Detection (F16)
|
100% |
21041
250.2 IPS |
|
|
Face Detection (I8)
|
89% |
14414
171.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
28287
219.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
28560
221.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
25070
194.4 IPS |
|
|
Style Transfer (F32)
|
100% |
127889
168.2 IPS |
|
|
Style Transfer (F16)
|
100% |
133156
175.2 IPS |
|
|
Style Transfer (I8)
|
98% |
117387
154.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23320
832.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24492
874.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20329
726.0 IPS |
|
|
Text Classification (F32)
|
100% |
3631
5.22 KIPS |
|
|
Text Classification (F16)
|
100% |
3674
5.28 KIPS |
|
|
Text Classification (I8)
|
98% |
2713
3.90 KIPS |
|
|
Machine Translation (F32)
|
100% |
5720
105.3 IPS |
|
|
Machine Translation (F16)
|
100% |
5786
106.5 IPS |
|
|
Machine Translation (I8)
|
70% |
3377
62.1 IPS |
