AMD MAPLE
Geekbench ML Score
14909
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 04:56 AM |
| 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% |
8359
1.56 KIPS |
|
|
Image Classification (F16)
|
100% |
8161
1.53 KIPS |
|
|
Image Classification (I8)
|
100% |
7235
1.35 KIPS |
|
|
Image Segmentation (F32)
|
100% |
13378
223.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
12998
217.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
11622
194.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
66327
80.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
72946
88.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
59975
72.6 IPS |
|
|
Object Detection (F32)
|
100% |
3089
230.6 IPS |
|
|
Object Detection (F16)
|
100% |
3208
239.5 IPS |
|
|
Object Detection (I8)
|
62% |
3480
259.8 IPS |
|
|
Face Detection (F32)
|
100% |
17761
211.2 IPS |
|
|
Face Detection (F16)
|
100% |
20919
248.7 IPS |
|
|
Face Detection (I8)
|
89% |
16642
197.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
33474
259.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
29117
225.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
26863
208.3 IPS |
|
|
Style Transfer (F32)
|
100% |
127224
167.4 IPS |
|
|
Style Transfer (F16)
|
100% |
134016
176.3 IPS |
|
|
Style Transfer (I8)
|
98% |
113620
149.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24779
884.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24349
869.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
21054
751.9 IPS |
|
|
Text Classification (F32)
|
100% |
3615
5.19 KIPS |
|
|
Text Classification (F16)
|
100% |
3530
5.07 KIPS |
|
|
Text Classification (I8)
|
98% |
2758
3.96 KIPS |
|
|
Machine Translation (F32)
|
100% |
5835
107.4 IPS |
|
|
Machine Translation (F16)
|
100% |
5756
105.9 IPS |
|
|
Machine Translation (I8)
|
70% |
3401
62.6 IPS |
