AMD MAPLE
Geekbench ML Score
14863
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 09 2025 05:57 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% |
8680
1.62 KIPS |
|
|
Image Classification (F16)
|
100% |
8494
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
7529
1.41 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12881
215.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
12873
215.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
11079
185.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
69473
84.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
58753
71.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
60507
73.3 IPS |
|
|
Object Detection (F32)
|
100% |
3752
280.1 IPS |
|
|
Object Detection (F16)
|
100% |
3506
261.7 IPS |
|
|
Object Detection (I8)
|
62% |
3120
233.0 IPS |
|
|
Face Detection (F32)
|
100% |
19232
228.7 IPS |
|
|
Face Detection (F16)
|
100% |
17795
211.6 IPS |
|
|
Face Detection (I8)
|
89% |
14437
171.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
34913
270.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
34556
268.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
26222
203.4 IPS |
|
|
Style Transfer (F32)
|
100% |
128928
169.6 IPS |
|
|
Style Transfer (F16)
|
100% |
124443
163.7 IPS |
|
|
Style Transfer (I8)
|
98% |
112635
148.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
23570
841.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24692
881.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
20733
740.4 IPS |
|
|
Text Classification (F32)
|
100% |
3766
5.41 KIPS |
|
|
Text Classification (F16)
|
100% |
3610
5.19 KIPS |
|
|
Text Classification (I8)
|
98% |
2684
3.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
5768
106.1 IPS |
|
|
Machine Translation (F16)
|
100% |
5746
105.7 IPS |
|
|
Machine Translation (I8)
|
70% |
3424
63.0 IPS |
