LENOVO 83ED
Geekbench AI Score
184
Single Precision Score
10950
Half Precision Score
20986
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | TechnoCat |
| Upload Date | August 21 2024 06:05 PM |
| Views | 4 |
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% |
77
14.4 IPS |
|
|
Image Classification (HP)
|
100% |
10670
1.98 KIPS |
|
|
Image Classification (Q)
|
99% |
16611
3.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
129
2.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
7446
120.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
8873
144.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
650
0.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
69874
81.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
234974
275.4 IPS |
|
|
Object Detection (SP)
|
100% |
68
5.37 IPS |
|
|
Object Detection (HP)
|
100% |
10572
838.6 IPS |
|
|
Object Detection (Q)
|
82% |
13474
1.09 KIPS |
|
|
Face Detection (SP)
|
100% |
205
2.44 IPS |
|
|
Face Detection (HP)
|
100% |
21954
260.9 IPS |
|
|
Face Detection (Q)
|
97% |
42058
501.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
204
1.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
42114
324.5 IPS |
|
|
Depth Estimation (Q)
|
71% |
80299
667.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1795
2.31 IPS |
|
|
Style Transfer (HP)
|
23% |
2727
93.9 IPS |
|
|
Style Transfer (Q)
|
98% |
180604
232.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
122
4.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30160
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43462
1.61 KIPS |
|
|
Text Classification (SP)
|
100% |
92
122.9 IPS |
|
|
Text Classification (HP)
|
100% |
2015
2.69 KIPS |
|
|
Text Classification (Q)
|
95% |
3507
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
126
2.17 IPS |
|
|
Machine Translation (HP)
|
100% |
2758
47.5 IPS |
|
|
Machine Translation (Q)
|
37% |
382
37.3 IPS |
