ONE-NETBOOK ONEXPLAYER 2 PRO ARP23H
Geekbench ML Score
13879
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 08:17 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ONE-NETBOOK ONEXPLAYER 2 PRO ARP23H |
| Motherboard | ONE-NETBOOK ONEXPLAYER 2 PRO ARP23P |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 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 | NVIDIA GeForce RTX 4070 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5956
1.11 KIPS |
|
|
Image Classification (F16)
|
100% |
6248
1.17 KIPS |
|
|
Image Classification (I8)
|
100% |
5712
1.07 KIPS |
|
|
Image Segmentation (F32)
|
100% |
6898
115.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
6899
115.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6607
110.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
121978
147.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
122067
147.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
109549
132.7 IPS |
|
|
Object Detection (F32)
|
100% |
4416
329.7 IPS |
|
|
Object Detection (F16)
|
100% |
4464
333.3 IPS |
|
|
Object Detection (I8)
|
63% |
4236
316.2 IPS |
|
|
Face Detection (F32)
|
100% |
16119
191.7 IPS |
|
|
Face Detection (F16)
|
100% |
15902
189.1 IPS |
|
|
Face Detection (I8)
|
89% |
14643
174.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
48040
372.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
48014
372.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
37251
288.9 IPS |
|
|
Style Transfer (F32)
|
100% |
201760
265.4 IPS |
|
|
Style Transfer (F16)
|
100% |
193804
254.9 IPS |
|
|
Style Transfer (I8)
|
98% |
176629
232.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
29672
1.06 KIPS |
|
|
Image Super-Resolution (F16)
|
100% |
29900
1.07 KIPS |
|
|
Image Super-Resolution (I8)
|
99% |
23608
843.1 IPS |
|
|
Text Classification (F32)
|
100% |
2208
3.17 KIPS |
|
|
Text Classification (F16)
|
100% |
2301
3.31 KIPS |
|
|
Text Classification (I8)
|
98% |
1518
2.18 KIPS |
|
|
Machine Translation (F32)
|
100% |
1989
36.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1986
36.6 IPS |
|
|
Machine Translation (I8)
|
70% |
1442
26.5 IPS |
