LENOVO LENOVO 83QR
Geekbench AI Score
1806
Single Precision Score
31329
Half Precision Score
82222
Quantized Score
Geekbench AI 1.6.0 for Windows AArch64
Result Information
| Upload Date | January 06 2026 02:13 AM |
| Views | 169 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X2 Elite - XG201032 - Qualcomm(R) Oryon(TM) CPU @ 4.3 GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 83QR |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Snapdragon(R) X2 Elite - XG201032 - Qualcomm(R) Oryon(TM) CPU @ 4.3 GHz |
| Topology | 1 Processor, 12 Cores |
| Identifier | ARMv8 (64-bit) Family 8 Model 2 Revision 201 |
| Base Frequency | 4.03 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
724
134.7 IPS |
|
|
Image Classification (HP)
|
100% |
22130
4.12 KIPS |
|
|
Image Classification (Q)
|
99% |
40457
7.55 KIPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
17163
278.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
46764
760.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4219
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
130957
152.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
447628
524.7 IPS |
|
|
Object Detection (SP)
|
100% |
879
69.7 IPS |
|
|
Object Detection (HP)
|
100% |
23395
1.86 KIPS |
|
|
Object Detection (Q)
|
92% |
42250
3.37 KIPS |
|
|
Face Detection (SP)
|
100% |
1968
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
44609
530.1 IPS |
|
|
Face Detection (Q)
|
97% |
135699
1.62 KIPS |
|
|
Depth Estimation (SP)
|
100% |
2324
17.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
85822
661.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
232830
1.85 KIPS |
|
|
Style Transfer (SP)
|
100% |
10718
13.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96799
124.4 IPS |
|
|
Style Transfer (Q)
|
98% |
527853
680.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2003
74.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51948
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
132823
4.90 KIPS |
|
|
Text Classification (SP)
|
100% |
957
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
5134
6.85 KIPS |
|
|
Text Classification (Q)
|
95% |
10501
14.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
1597
27.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7920
136.9 IPS |
|
|
Machine Translation (Q)
|
67% |
16968
330.2 IPS |
