LENOVO 83ED
Geekbench AI Score
210
Single Precision Score
183
Half Precision Score
382
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | August 21 2024 05:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| 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% |
61
11.4 IPS |
|
|
Image Classification (HP)
|
100% |
50
9.28 IPS |
|
|
Image Classification (Q)
|
99% |
174
32.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
252
4.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
635
0.74 IPS |
|
|
Pose Estimation (HP)
|
100% |
780
0.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
1517
1.78 IPS |
|
|
Object Detection (SP)
|
100% |
69
5.49 IPS |
|
|
Object Detection (HP)
|
99% |
59
4.69 IPS |
|
|
Object Detection (Q)
|
88% |
174
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
192
2.28 IPS |
|
|
Face Detection (HP)
|
100% |
172
2.04 IPS |
|
|
Face Detection (Q)
|
97% |
395
4.70 IPS |
|
|
Depth Estimation (SP)
|
100% |
209
1.61 IPS |
|
|
Depth Estimation (HP)
|
98% |
239
1.84 IPS |
|
|
Depth Estimation (Q)
|
76% |
509
4.10 IPS |
|
|
Style Transfer (SP)
|
100% |
1775
2.28 IPS |
|
|
Style Transfer (HP)
|
100% |
1858
2.39 IPS |
|
|
Style Transfer (Q)
|
98% |
2286
2.95 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
523
19.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.81 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
277
10.3 IPS |
|
|
Text Classification (SP)
|
100% |
108
143.5 IPS |
|
|
Text Classification (HP)
|
100% |
42
56.6 IPS |
|
|
Text Classification (Q)
|
97% |
166
222.4 IPS |
|
|
Machine Translation (SP)
|
100% |
125
2.15 IPS |
|
|
Machine Translation (HP)
|
99% |
152
2.62 IPS |
|
|
Machine Translation (Q)
|
60% |
271
6.06 IPS |
