Standard NA10H
Geekbench ML Score
3321
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | June 10 2025 08:39 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Standard NA10H |
| Motherboard | Standard NA10H |
| Power Plan | Gebalanceerd |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8845HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 8 |
| L1 Data Cache | 32.0 KB x 8 |
| L2 Cache | 1.00 MB x 8 |
| L3 Cache | 16.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1444
270.1 IPS |
|
|
Image Classification (F16)
|
100% |
1437
269.0 IPS |
|
|
Image Classification (I8)
|
100% |
1246
233.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1644
27.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1653
27.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1370
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
20880
25.3 IPS |
|
|
Pose Estimation (F16)
|
100% |
21088
25.5 IPS |
|
|
Pose Estimation (I8)
|
100% |
14182
17.2 IPS |
|
|
Object Detection (F32)
|
100% |
1283
95.8 IPS |
|
|
Object Detection (F16)
|
100% |
1304
97.4 IPS |
|
|
Object Detection (I8)
|
62% |
1140
85.1 IPS |
|
|
Face Detection (F32)
|
100% |
2462
29.3 IPS |
|
|
Face Detection (F16)
|
100% |
2461
29.3 IPS |
|
|
Face Detection (I8)
|
89% |
1889
22.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
8713
67.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
8778
68.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
6573
51.0 IPS |
|
|
Style Transfer (F32)
|
100% |
27277
35.9 IPS |
|
|
Style Transfer (F16)
|
100% |
26589
35.0 IPS |
|
|
Style Transfer (I8)
|
98% |
21949
28.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4967
177.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4492
160.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3380
120.7 IPS |
|
|
Text Classification (F32)
|
100% |
1464
2.10 KIPS |
|
|
Text Classification (F16)
|
100% |
1424
2.05 KIPS |
|
|
Text Classification (I8)
|
98% |
1215
1.75 KIPS |
|
|
Machine Translation (F32)
|
100% |
1504
27.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1407
25.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1027
18.9 IPS |
