LENOVO 83HL
Geekbench AI Score
1929
Single Precision Score
1575
Half Precision Score
5139
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | November 21 2024 01:45 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 83HL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 1 Revision 201 |
| Base Frequency | 3.42 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.8 IPS |
|
|
Image Classification (Q)
|
99% |
3789
706.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
805
13.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2512
40.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2183
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4653
5.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
7242
8.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
17967
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
853
67.7 IPS |
|
|
Object Detection (HP)
|
99% |
605
48.1 IPS |
|
|
Object Detection (Q)
|
88% |
3771
302.3 IPS |
|
|
Face Detection (SP)
|
100% |
1852
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
888
10.5 IPS |
|
|
Face Detection (Q)
|
97% |
6459
77.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2375
18.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
2314
17.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
9273
74.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11373
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9791
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
29360
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1966
72.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3756
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
1542
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
440
587.0 IPS |
|
|
Text Classification (Q)
|
97% |
1249
1.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
2159
37.2 IPS |
|
|
Machine Translation (HP)
|
99% |
1696
29.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2782
62.1 IPS |
