AMD MAPLE
Geekbench ML Score
14809
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | November 17 2025 06:45 AM |
| Views | 5 |
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% |
7981
1.49 KIPS |
|
|
Image Classification (F16)
|
100% |
8179
1.53 KIPS |
|
|
Image Classification (I8)
|
100% |
7129
1.33 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12771
213.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
12305
205.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
11815
197.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
65197
79.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
72083
87.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
64098
77.6 IPS |
|
|
Object Detection (F32)
|
100% |
3579
267.2 IPS |
|
|
Object Detection (F16)
|
100% |
3434
256.3 IPS |
|
|
Object Detection (I8)
|
62% |
3012
224.9 IPS |
|
|
Face Detection (F32)
|
100% |
17473
207.8 IPS |
|
|
Face Detection (F16)
|
100% |
17932
213.2 IPS |
|
|
Face Detection (I8)
|
89% |
14660
174.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
29799
231.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
30532
236.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
25899
200.8 IPS |
|
|
Style Transfer (F32)
|
100% |
132466
174.2 IPS |
|
|
Style Transfer (F16)
|
100% |
137194
180.5 IPS |
|
|
Style Transfer (I8)
|
98% |
115699
152.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
26083
931.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25189
899.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21440
765.7 IPS |
|
|
Text Classification (F32)
|
100% |
3849
5.53 KIPS |
|
|
Text Classification (F16)
|
100% |
3624
5.21 KIPS |
|
|
Text Classification (I8)
|
98% |
2675
3.84 KIPS |
|
|
Machine Translation (F32)
|
100% |
5787
106.5 IPS |
|
|
Machine Translation (F16)
|
100% |
5708
105.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3432
63.2 IPS |
