LENOVO 83ED
Geekbench AI Score
1882
Single Precision Score
1606
Half Precision Score
4936
Quantized Score
Geekbench AI 1.1.0 for Windows AArch64
Result Information
| User | JustJosh |
| Upload Date | October 23 2024 08:55 PM |
| Views | 3 |
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% |
703
130.8 IPS |
|
|
Image Classification (HP)
|
100% |
541
100.7 IPS |
|
|
Image Classification (Q)
|
99% |
3500
652.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2876
46.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2374
38.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5994
6.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
8589
10.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14714
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
824
65.4 IPS |
|
|
Object Detection (HP)
|
99% |
616
49.0 IPS |
|
|
Object Detection (Q)
|
88% |
3237
259.5 IPS |
|
|
Face Detection (SP)
|
100% |
1755
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
901
10.7 IPS |
|
|
Face Detection (Q)
|
97% |
6140
73.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2344
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
2334
18.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
8904
71.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9544
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
8950
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
34069
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2184
80.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3700
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
1465
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
422
562.7 IPS |
|
|
Text Classification (Q)
|
97% |
1219
1.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2006
34.5 IPS |
|
|
Machine Translation (HP)
|
99% |
1658
28.6 IPS |
|
|
Machine Translation (Q)
|
60% |
2586
57.7 IPS |
