LENOVO 83ED
Geekbench AI Score
1801
Single Precision Score
10505
Half Precision Score
19149
Quantized Score
Geekbench AI 1.7.0 for Windows AArch64
Result Information
| User | 5000hx |
| Upload Date | March 28 2026 12:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | QNN |
| Device | Snapdragon(R) X Elite - X1E78100 - Qualcomm(R) Oryon(TM) CPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83ED |
| Motherboard | LENOVO LNVNB161216 |
| 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% |
630
117.3 IPS |
|
|
Image Classification (HP)
|
100% |
3966
737.5 IPS |
|
|
Image Classification (Q)
|
99% |
4651
867.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
722
11.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
7579
122.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18087
294.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5804
6.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
67784
79.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
206004
241.5 IPS |
|
|
Object Detection (SP)
|
100% |
848
67.2 IPS |
|
|
Object Detection (HP)
|
100% |
6586
522.4 IPS |
|
|
Object Detection (Q)
|
92% |
8987
717.4 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
20597
244.7 IPS |
|
|
Face Detection (Q)
|
97% |
44015
524.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2244
17.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
34268
264.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
63895
510.0 IPS |
|
|
Style Transfer (SP)
|
100% |
15390
19.8 IPS |
|
|
Style Transfer (HP)
|
100% |
51581
66.3 IPS |
|
|
Style Transfer (Q)
|
98% |
208050
268.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2167
80.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15477
571.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21593
797.3 IPS |
|
|
Text Classification (SP)
|
100% |
816
1.09 KIPS |
|
|
Text Classification (HP)
|
100% |
655
874.4 IPS |
|
|
Text Classification (Q)
|
95% |
717
960.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1552
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3307
57.0 IPS |
|
|
Machine Translation (Q)
|
67% |
4700
91.5 IPS |
