LENOVO 4810UV0100
Geekbench ML Score
2325
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| User | andrewillauchmit |
| Upload Date | May 08 2024 08:24 AM |
| Views | 13 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Insider Preview (64-bit) |
| Model | LENOVO 4810UV0100 |
| Motherboard | LENOVO 4810UV0100 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon X Elite - X1E78100 - Qualcomm Oryon CPU |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Adreno(TM) GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1421
265.9 IPS |
|
|
Image Classification (F16)
|
100% |
1443
270.1 IPS |
|
|
Image Classification (I8)
|
100% |
1183
221.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1731
28.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1686
28.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1500
25.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
9666
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9450
11.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
8468
10.3 IPS |
|
|
Object Detection (F32)
|
100% |
1209
90.3 IPS |
|
|
Object Detection (F16)
|
100% |
1208
90.2 IPS |
|
|
Object Detection (I8)
|
71% |
1089
81.3 IPS |
|
|
Face Detection (F32)
|
100% |
2897
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (I8)
|
93% |
2324
27.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
5480
42.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
5413
42.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4608
35.7 IPS |
|
|
Style Transfer (F32)
|
100% |
12993
17.1 IPS |
|
|
Style Transfer (F16)
|
100% |
12991
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
12024
15.8 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4941
176.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4941
176.5 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3551
126.8 IPS |
|
|
Text Classification (F32)
|
100% |
285
409.5 IPS |
|
|
Text Classification (F16)
|
100% |
300
431.4 IPS |
|
|
Text Classification (I8)
|
98% |
246
353.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1055
19.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1064
19.6 IPS |
|
|
Machine Translation (I8)
|
65% |
678
12.5 IPS |
