LENOVO 83HL
Geekbench AI Score
995
Single Precision Score
14639
Half Precision Score
32831
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | June 13 2025 11:25 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Plus - X1P42100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 83HL |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| 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 | 3.24 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
110
20.4 IPS |
|
|
Image Classification (HP)
|
100% |
9286
1.73 KIPS |
|
|
Image Classification (Q)
|
99% |
16937
3.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
194
3.15 IPS |
|
|
Image Segmentation (HP)
|
100% |
7972
129.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16248
264.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
69091
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
219972
257.8 IPS |
|
|
Object Detection (SP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (HP)
|
100% |
10771
854.3 IPS |
|
|
Object Detection (Q)
|
92% |
17481
1.40 KIPS |
|
|
Face Detection (SP)
|
100% |
331
3.94 IPS |
|
|
Face Detection (HP)
|
100% |
21409
254.4 IPS |
|
|
Face Detection (Q)
|
97% |
51494
614.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2324
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39251
302.4 IPS |
|
|
Depth Estimation (Q)
|
78% |
98027
782.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11017
14.2 IPS |
|
|
Style Transfer (HP)
|
98% |
56264
72.6 IPS |
|
|
Style Transfer (Q)
|
98% |
250608
323.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1994
73.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27919
1.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
63234
2.33 KIPS |
|
|
Text Classification (SP)
|
100% |
1563
2.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2125
2.84 KIPS |
|
|
Text Classification (Q)
|
95% |
3222
4.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
2303
39.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2926
50.4 IPS |
|
|
Machine Translation (Q)
|
67% |
5335
103.8 IPS |
