LENOVO 83ED
Geekbench AI Score
2153
Single Precision Score
11177
Half Precision Score
21926
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | August 24 2024 08:55 PM |
| Views | 5 |
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 |
| 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% |
715
133.0 IPS |
|
|
Image Classification (HP)
|
100% |
10899
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
17098
3.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
7676
124.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
9326
151.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6663
7.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
70939
82.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
241387
282.9 IPS |
|
|
Object Detection (SP)
|
100% |
910
72.2 IPS |
|
|
Object Detection (HP)
|
100% |
10960
869.4 IPS |
|
|
Object Detection (Q)
|
82% |
15362
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
1893
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
22888
272.0 IPS |
|
|
Face Detection (Q)
|
97% |
45890
547.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2595
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
42039
323.9 IPS |
|
|
Depth Estimation (Q)
|
71% |
83941
698.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16021
20.6 IPS |
|
|
Style Transfer (HP)
|
23% |
2804
96.6 IPS |
|
|
Style Transfer (Q)
|
98% |
182242
235.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2347
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
29833
1.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
44261
1.64 KIPS |
|
|
Text Classification (SP)
|
100% |
1497
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
2067
2.76 KIPS |
|
|
Text Classification (Q)
|
95% |
3567
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2083
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2812
48.4 IPS |
|
|
Machine Translation (Q)
|
37% |
392
38.2 IPS |
