LENOVO 83GH
Geekbench AI Score
1666
Single Precision Score
16053
Half Precision Score
35564
Quantized Score
Geekbench AI 1.3.0 for Windows AArch64
Result Information
| Upload Date | April 23 2025 06:08 AM |
| Views | 2 |
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 83GH |
| 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% |
626
116.4 IPS |
|
|
Image Classification (HP)
|
100% |
10565
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
17978
3.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8109
131.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
17160
279.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3983
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
71448
83.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
245560
287.8 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.9 IPS |
|
|
Object Detection (HP)
|
100% |
11230
890.8 IPS |
|
|
Object Detection (Q)
|
92% |
19364
1.55 KIPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
23971
284.8 IPS |
|
|
Face Detection (Q)
|
97% |
57959
691.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2078
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
43043
331.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
106877
853.0 IPS |
|
|
Style Transfer (SP)
|
100% |
9571
12.3 IPS |
|
|
Style Transfer (HP)
|
98% |
57979
74.8 IPS |
|
|
Style Transfer (Q)
|
98% |
264849
341.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1538
56.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30334
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
65101
2.40 KIPS |
|
|
Text Classification (SP)
|
100% |
1474
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
95% |
3610
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1970
33.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3865
66.6 IPS |
|
|
Machine Translation (Q)
|
67% |
5724
111.4 IPS |
