LENOVO 4810UV0100
Geekbench ML Score
2329
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| User | andrewillauchmit |
| Upload Date | May 08 2024 08:02 AM |
| Views | 8 |
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% |
1471
275.2 IPS |
|
|
Image Classification (F16)
|
100% |
1459
273.1 IPS |
|
|
Image Classification (I8)
|
100% |
1183
221.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1685
28.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1677
28.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1453
24.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
9702
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9708
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
8382
10.1 IPS |
|
|
Object Detection (F32)
|
100% |
1227
91.6 IPS |
|
|
Object Detection (F16)
|
100% |
1220
91.1 IPS |
|
|
Object Detection (I8)
|
71% |
1088
81.2 IPS |
|
|
Face Detection (F32)
|
100% |
2900
34.5 IPS |
|
|
Face Detection (F16)
|
100% |
2860
34.0 IPS |
|
|
Face Detection (I8)
|
93% |
2276
27.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
5463
42.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
5504
42.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
4518
35.0 IPS |
|
|
Style Transfer (F32)
|
100% |
12960
17.0 IPS |
|
|
Style Transfer (F16)
|
100% |
12987
17.1 IPS |
|
|
Style Transfer (I8)
|
98% |
11834
15.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5008
178.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5008
178.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3570
127.5 IPS |
|
|
Text Classification (F32)
|
100% |
297
427.3 IPS |
|
|
Text Classification (F16)
|
100% |
295
423.6 IPS |
|
|
Text Classification (I8)
|
98% |
250
358.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1069
19.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1057
19.5 IPS |
|
|
Machine Translation (I8)
|
65% |
684
12.6 IPS |
