AMD MAPLE
Geekbench ML Score
14859
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2025 05:55 AM |
| Views | 8 |
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% |
8068
1.51 KIPS |
|
|
Image Classification (F16)
|
100% |
8645
1.62 KIPS |
|
|
Image Classification (I8)
|
100% |
7418
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8617
143.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
12485
208.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
10628
177.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
80670
97.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
66269
80.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
65403
79.2 IPS |
|
|
Object Detection (F32)
|
100% |
3551
265.1 IPS |
|
|
Object Detection (F16)
|
100% |
3440
256.8 IPS |
|
|
Object Detection (I8)
|
62% |
3453
257.8 IPS |
|
|
Face Detection (F32)
|
100% |
20505
243.8 IPS |
|
|
Face Detection (F16)
|
100% |
20707
246.2 IPS |
|
|
Face Detection (I8)
|
89% |
15296
181.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
34584
268.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
34833
270.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
27024
209.6 IPS |
|
|
Style Transfer (F32)
|
100% |
132424
174.2 IPS |
|
|
Style Transfer (F16)
|
100% |
129394
170.2 IPS |
|
|
Style Transfer (I8)
|
98% |
116277
153.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23296
832.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
25329
904.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21125
754.4 IPS |
|
|
Text Classification (F32)
|
100% |
3319
4.77 KIPS |
|
|
Text Classification (F16)
|
100% |
3881
5.58 KIPS |
|
|
Text Classification (I8)
|
98% |
2588
3.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
5066
93.2 IPS |
|
|
Machine Translation (F16)
|
100% |
5749
105.8 IPS |
|
|
Machine Translation (I8)
|
70% |
3252
59.9 IPS |
