LENOVO 83ED
Geekbench AI Score
1763
Single Precision Score
15724
Half Precision Score
27344
Quantized Score
Geekbench AI 1.2.0 for Windows AArch64
Result Information
| Upload Date | December 30 2024 10:00 PM |
| Views | 2 |
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 Home (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% |
747
138.9 IPS |
|
|
Image Classification (HP)
|
100% |
10554
1.96 KIPS |
|
|
Image Classification (Q)
|
99% |
16999
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
854
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
7587
123.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
9572
155.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4070
4.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
70154
81.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
242600
284.4 IPS |
|
|
Object Detection (SP)
|
100% |
688
54.6 IPS |
|
|
Object Detection (HP)
|
100% |
11297
896.1 IPS |
|
|
Object Detection (Q)
|
92% |
13345
1.07 KIPS |
|
|
Face Detection (SP)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (HP)
|
100% |
22387
266.0 IPS |
|
|
Face Detection (Q)
|
97% |
47148
562.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2296
17.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
42253
325.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
105584
847.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13045
16.8 IPS |
|
|
Style Transfer (HP)
|
98% |
57250
73.8 IPS |
|
|
Style Transfer (Q)
|
98% |
214934
277.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1568
57.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30751
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43403
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
1493
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
2487
3.32 KIPS |
|
|
Text Classification (Q)
|
95% |
3746
5.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1786
30.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3517
60.6 IPS |
|
|
Machine Translation (Q)
|
67% |
2550
49.6 IPS |
