AMD MAPLE
Geekbench ML Score
14661
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 06:03 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% |
8643
1.62 KIPS |
|
|
Image Classification (F16)
|
100% |
8520
1.59 KIPS |
|
|
Image Classification (I8)
|
100% |
7374
1.38 KIPS |
|
|
Image Segmentation (F32)
|
100% |
12621
210.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
12863
214.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
12077
201.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
67811
82.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
68931
83.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
62365
75.5 IPS |
|
|
Object Detection (F32)
|
100% |
3457
258.1 IPS |
|
|
Object Detection (F16)
|
100% |
3190
238.1 IPS |
|
|
Object Detection (I8)
|
62% |
3139
234.4 IPS |
|
|
Face Detection (F32)
|
100% |
17578
209.0 IPS |
|
|
Face Detection (F16)
|
100% |
17541
208.6 IPS |
|
|
Face Detection (I8)
|
89% |
14170
168.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
29127
225.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
29606
229.6 IPS |
|
|
Depth Estimation (I8)
|
95% |
25612
198.6 IPS |
|
|
Style Transfer (F32)
|
100% |
126688
166.6 IPS |
|
|
Style Transfer (F16)
|
100% |
119751
157.5 IPS |
|
|
Style Transfer (I8)
|
98% |
113277
149.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
24410
871.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
24407
871.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
19468
695.3 IPS |
|
|
Text Classification (F32)
|
100% |
3878
5.57 KIPS |
|
|
Text Classification (F16)
|
100% |
3789
5.45 KIPS |
|
|
Text Classification (I8)
|
98% |
2775
3.99 KIPS |
|
|
Machine Translation (F32)
|
100% |
5832
107.3 IPS |
|
|
Machine Translation (F16)
|
100% |
5765
106.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3416
62.9 IPS |
