Default string Default string
Geekbench ML Score
5361
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 04 2026 06:22 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| 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 | 128.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1870
349.9 IPS |
|
|
Image Classification (F16)
|
100% |
1940
363.0 IPS |
|
|
Image Classification (I8)
|
99% |
4888
914.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
947
15.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
869
14.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
3252
54.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
21780
26.4 IPS |
|
|
Pose Estimation (F16)
|
100% |
22023
26.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
56105
67.9 IPS |
|
|
Object Detection (F32)
|
100% |
1976
147.5 IPS |
|
|
Object Detection (F16)
|
100% |
2173
162.2 IPS |
|
|
Object Detection (I8)
|
62% |
2504
187.0 IPS |
|
|
Face Detection (F32)
|
100% |
4865
57.9 IPS |
|
|
Face Detection (F16)
|
100% |
4740
56.4 IPS |
|
|
Face Detection (I8)
|
89% |
6476
77.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
11223
87.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
10766
83.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
24282
188.3 IPS |
|
|
Style Transfer (F32)
|
100% |
36477
48.0 IPS |
|
|
Style Transfer (F16)
|
100% |
36706
48.3 IPS |
|
|
Style Transfer (I8)
|
98% |
53098
69.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4655
166.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4626
165.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4485
160.2 IPS |
|
|
Text Classification (F32)
|
100% |
1819
2.61 KIPS |
|
|
Text Classification (F16)
|
100% |
1509
2.17 KIPS |
|
|
Text Classification (I8)
|
98% |
1197
1.72 KIPS |
|
|
Machine Translation (F32)
|
100% |
3527
64.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3535
65.0 IPS |
|
|
Machine Translation (I8)
|
67% |
4470
82.3 IPS |
