AMD MAPLE
Geekbench ML Score
14990
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | December 10 2025 06:35 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% |
7691
1.44 KIPS |
|
|
Image Classification (F16)
|
100% |
8371
1.57 KIPS |
|
|
Image Classification (I8)
|
100% |
7376
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
9361
156.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
12913
215.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
11033
184.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
83835
101.5 IPS |
|
|
Pose Estimation (F16)
|
100% |
71820
87.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
64125
77.7 IPS |
|
|
Object Detection (F32)
|
100% |
3445
257.2 IPS |
|
|
Object Detection (F16)
|
100% |
3495
260.9 IPS |
|
|
Object Detection (I8)
|
62% |
3494
260.9 IPS |
|
|
Face Detection (F32)
|
100% |
19936
237.0 IPS |
|
|
Face Detection (F16)
|
100% |
20799
247.3 IPS |
|
|
Face Detection (I8)
|
89% |
16331
194.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
34684
269.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
33851
262.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
30872
239.4 IPS |
|
|
Style Transfer (F32)
|
100% |
133607
175.7 IPS |
|
|
Style Transfer (F16)
|
100% |
139816
183.9 IPS |
|
|
Style Transfer (I8)
|
98% |
118986
156.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
25253
901.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24351
869.7 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19928
711.7 IPS |
|
|
Text Classification (F32)
|
100% |
3269
4.70 KIPS |
|
|
Text Classification (F16)
|
100% |
3489
5.01 KIPS |
|
|
Text Classification (I8)
|
98% |
2530
3.64 KIPS |
|
|
Machine Translation (F32)
|
100% |
5208
95.8 IPS |
|
|
Machine Translation (F16)
|
100% |
5742
105.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3168
58.3 IPS |
