AMD MAPLE
Geekbench ML Score
14921
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | July 09 2025 12:42 PM |
| 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% |
8588
1.61 KIPS |
|
|
Image Classification (F16)
|
100% |
8564
1.60 KIPS |
|
|
Image Classification (I8)
|
100% |
7358
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13102
218.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
12584
210.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
11100
185.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
73714
89.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
67722
82.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
57481
69.6 IPS |
|
|
Object Detection (F32)
|
100% |
3185
237.8 IPS |
|
|
Object Detection (F16)
|
100% |
3742
279.4 IPS |
|
|
Object Detection (I8)
|
62% |
3521
262.9 IPS |
|
|
Face Detection (F32)
|
100% |
18481
219.7 IPS |
|
|
Face Detection (F16)
|
100% |
17837
212.1 IPS |
|
|
Face Detection (I8)
|
89% |
14548
173.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
31499
244.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
34264
265.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
24941
193.4 IPS |
|
|
Style Transfer (F32)
|
100% |
135022
177.6 IPS |
|
|
Style Transfer (F16)
|
100% |
126658
166.6 IPS |
|
|
Style Transfer (I8)
|
98% |
112292
147.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24350
869.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
26353
941.1 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20669
738.2 IPS |
|
|
Text Classification (F32)
|
100% |
3680
5.29 KIPS |
|
|
Text Classification (F16)
|
100% |
3651
5.25 KIPS |
|
|
Text Classification (I8)
|
98% |
2726
3.92 KIPS |
|
|
Machine Translation (F32)
|
100% |
5746
105.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5719
105.3 IPS |
|
|
Machine Translation (I8)
|
70% |
3469
63.8 IPS |
