LENOVO 83ED
Geekbench AI Score
1773
Single Precision Score
1498
Half Precision Score
4885
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| Upload Date | September 17 2024 02:58 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 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% |
717
133.4 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.5 IPS |
|
|
Image Classification (Q)
|
99% |
3582
668.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
757
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2807
45.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2147
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3631
4.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
6597
7.70 IPS |
|
|
Pose Estimation (Q)
|
95% |
15300
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
617
48.9 IPS |
|
|
Object Detection (HP)
|
99% |
583
46.4 IPS |
|
|
Object Detection (Q)
|
88% |
4063
325.7 IPS |
|
|
Face Detection (SP)
|
100% |
1723
20.5 IPS |
|
|
Face Detection (HP)
|
100% |
792
9.41 IPS |
|
|
Face Detection (Q)
|
97% |
6004
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2036
15.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2215
17.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
8340
66.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12789
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9382
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
33238
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2034
75.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3505
129.8 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
393
525.1 IPS |
|
|
Text Classification (Q)
|
97% |
1134
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
2006
34.6 IPS |
|
|
Machine Translation (HP)
|
99% |
1522
26.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2447
54.6 IPS |
