Default string Default string
Geekbench ML Score
19978
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | March 04 2026 06:23 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 | DirectML |
| Device | AMD Radeon(TM) 8060S Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
10706
2.00 KIPS |
|
|
Image Classification (F16)
|
100% |
11207
2.10 KIPS |
|
|
Image Classification (I8)
|
100% |
9360
1.75 KIPS |
|
|
Image Segmentation (F32)
|
100% |
16725
279.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
17069
285.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
13660
228.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
121928
147.6 IPS |
|
|
Pose Estimation (F16)
|
100% |
116956
141.6 IPS |
|
|
Pose Estimation (I8)
|
100% |
105980
128.3 IPS |
|
|
Object Detection (F32)
|
100% |
4537
338.7 IPS |
|
|
Object Detection (F16)
|
100% |
4738
353.7 IPS |
|
|
Object Detection (I8)
|
62% |
4722
352.5 IPS |
|
|
Face Detection (F32)
|
100% |
22957
273.0 IPS |
|
|
Face Detection (F16)
|
100% |
24732
294.1 IPS |
|
|
Face Detection (I8)
|
89% |
18494
219.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
46454
360.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
49556
384.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
40377
313.1 IPS |
|
|
Style Transfer (F32)
|
100% |
215926
284.0 IPS |
|
|
Style Transfer (F16)
|
100% |
212813
279.9 IPS |
|
|
Style Transfer (I8)
|
98% |
178165
234.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
33361
1.19 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
35741
1.28 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
26820
957.8 IPS |
|
|
Text Classification (F32)
|
100% |
4308
6.19 KIPS |
|
|
Text Classification (F16)
|
100% |
4160
5.98 KIPS |
|
|
Text Classification (I8)
|
98% |
2815
4.05 KIPS |
|
|
Machine Translation (F32)
|
100% |
6019
110.8 IPS |
|
|
Machine Translation (F16)
|
100% |
6308
116.1 IPS |
|
|
Machine Translation (I8)
|
70% |
3161
58.2 IPS |
