LENOVO 4810UV0100
Geekbench ML Score
2763
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AArch64
Result Information
| User | andrewillauchmit |
| Upload Date | May 08 2024 07:59 AM |
| Views | 4 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
695
130.1 IPS |
|
|
Image Classification (F16)
|
100% |
687
128.6 IPS |
|
|
Image Classification (I8)
|
99% |
3705
693.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
811
13.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
793
13.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
2283
38.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
6130
7.42 IPS |
|
|
Pose Estimation (F16)
|
100% |
6190
7.50 IPS |
|
|
Pose Estimation (I8)
|
100% |
24296
29.4 IPS |
|
|
Object Detection (F32)
|
100% |
886
66.2 IPS |
|
|
Object Detection (F16)
|
100% |
916
68.4 IPS |
|
|
Object Detection (I8)
|
65% |
3437
256.6 IPS |
|
|
Face Detection (F32)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (F16)
|
100% |
1626
19.3 IPS |
|
|
Face Detection (I8)
|
89% |
5929
70.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
2514
19.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2437
18.9 IPS |
|
|
Depth Estimation (I8)
|
96% |
13227
102.6 IPS |
|
|
Style Transfer (F32)
|
100% |
13877
18.3 IPS |
|
|
Style Transfer (F16)
|
100% |
14836
19.5 IPS |
|
|
Style Transfer (I8)
|
98% |
24702
32.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1602
57.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1780
63.6 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3866
138.1 IPS |
|
|
Text Classification (F32)
|
100% |
1450
2.08 KIPS |
|
|
Text Classification (F16)
|
100% |
1448
2.08 KIPS |
|
|
Text Classification (I8)
|
98% |
1159
1.67 KIPS |
|
|
Machine Translation (F32)
|
100% |
2066
38.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1940
35.7 IPS |
|
|
Machine Translation (I8)
|
67% |
3307
60.9 IPS |
