AMD MAPLE
Geekbench ML Score
14642
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 05:59 AM |
| Views | 6 |
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% |
7723
1.45 KIPS |
|
|
Image Classification (F16)
|
100% |
8657
1.62 KIPS |
|
|
Image Classification (I8)
|
100% |
7426
1.39 KIPS |
|
|
Image Segmentation (F32)
|
100% |
8454
141.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
12732
212.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
10685
178.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
80922
98.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
65804
79.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
63683
77.1 IPS |
|
|
Object Detection (F32)
|
100% |
3460
258.3 IPS |
|
|
Object Detection (F16)
|
100% |
3461
258.4 IPS |
|
|
Object Detection (I8)
|
62% |
3009
224.7 IPS |
|
|
Face Detection (F32)
|
100% |
19641
233.5 IPS |
|
|
Face Detection (F16)
|
100% |
17164
204.1 IPS |
|
|
Face Detection (I8)
|
89% |
14528
172.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
35118
272.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
33271
258.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
31068
240.9 IPS |
|
|
Style Transfer (F32)
|
100% |
130331
171.4 IPS |
|
|
Style Transfer (F16)
|
100% |
122398
161.0 IPS |
|
|
Style Transfer (I8)
|
98% |
117084
154.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24026
858.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
23055
823.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20917
747.0 IPS |
|
|
Text Classification (F32)
|
100% |
3434
4.94 KIPS |
|
|
Text Classification (F16)
|
100% |
3865
5.55 KIPS |
|
|
Text Classification (I8)
|
98% |
2685
3.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
5264
96.9 IPS |
|
|
Machine Translation (F16)
|
100% |
5769
106.2 IPS |
|
|
Machine Translation (I8)
|
70% |
3199
58.9 IPS |
