LENOVO 4810UV0100
Geekbench AI Score
2177
Single Precision Score
1537
Half Precision Score
4286
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | December 04 2024 06:44 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 4810UV0100 |
| Motherboard | LENOVO 4810UV0100 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (HP)
|
100% |
562
104.6 IPS |
|
|
Image Classification (Q)
|
99% |
4081
761.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
837
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2912
47.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2382
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7042
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
8216
9.59 IPS |
|
|
Pose Estimation (Q)
|
95% |
24876
29.2 IPS |
|
|
Object Detection (SP)
|
100% |
921
73.1 IPS |
|
|
Object Detection (HP)
|
99% |
664
52.8 IPS |
|
|
Object Detection (Q)
|
88% |
4478
358.9 IPS |
|
|
Face Detection (SP)
|
100% |
1921
22.8 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (Q)
|
97% |
6200
73.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2552
19.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2362
18.3 IPS |
|
|
Depth Estimation (Q)
|
77% |
9595
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
16228
20.9 IPS |
|
|
Style Transfer (HP)
|
100% |
10516
13.5 IPS |
|
|
Style Transfer (Q)
|
98% |
2567
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2253
83.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1137
42.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3816
141.3 IPS |
|
|
Text Classification (SP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (HP)
|
100% |
438
584.7 IPS |
|
|
Text Classification (Q)
|
97% |
1191
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2134
36.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1802
31.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2785
62.1 IPS |
