PELADN HA-4
Geekbench ML Score
4584
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 31 2025 07:41 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | PELADN HA-4 |
| Motherboard | PELADN HA-4 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 116 Stepping 1 |
| 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 | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon 780M Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1608
300.9 IPS |
|
|
Image Classification (F16)
|
100% |
1552
290.4 IPS |
|
|
Image Classification (I8)
|
100% |
1769
331.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
2732
45.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
2814
47.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2339
39.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
38800
47.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
36046
43.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
28746
34.8 IPS |
|
|
Object Detection (F32)
|
100% |
1229
91.7 IPS |
|
|
Object Detection (F16)
|
100% |
1150
85.9 IPS |
|
|
Object Detection (I8)
|
62% |
1399
104.4 IPS |
|
|
Face Detection (F32)
|
100% |
5037
59.9 IPS |
|
|
Face Detection (F16)
|
100% |
5080
60.4 IPS |
|
|
Face Detection (I8)
|
89% |
3912
46.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
14227
110.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
14979
116.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
12047
93.4 IPS |
|
|
Style Transfer (F32)
|
100% |
32788
43.1 IPS |
|
|
Style Transfer (F16)
|
100% |
32564
42.8 IPS |
|
|
Style Transfer (I8)
|
98% |
27975
36.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5672
202.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5752
205.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4338
154.9 IPS |
|
|
Text Classification (F32)
|
100% |
1696
2.44 KIPS |
|
|
Text Classification (F16)
|
100% |
1647
2.37 KIPS |
|
|
Text Classification (I8)
|
98% |
1353
1.95 KIPS |
|
|
Machine Translation (F32)
|
100% |
1497
27.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1315
24.2 IPS |
|
|
Machine Translation (I8)
|
70% |
1351
24.9 IPS |
