LENOVO 83ED
Geekbench AI Score
1537
Single Precision Score
1197
Half Precision Score
4210
Quantized Score
Geekbench AI 1.0.0 for Windows AArch64
Result Information
| User | tangreg99 |
| Upload Date | September 02 2024 09:13 PM |
| Views | 1 |
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 |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
732
136.2 IPS |
|
|
Image Classification (HP)
|
100% |
544
101.2 IPS |
|
|
Image Classification (Q)
|
99% |
2910
542.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
544
8.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
1625
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2043
33.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2937
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
6528
7.62 IPS |
|
|
Pose Estimation (Q)
|
95% |
17984
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
585
46.4 IPS |
|
|
Object Detection (HP)
|
99% |
397
31.6 IPS |
|
|
Object Detection (Q)
|
88% |
3327
266.7 IPS |
|
|
Face Detection (SP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (HP)
|
100% |
610
7.25 IPS |
|
|
Face Detection (Q)
|
97% |
4638
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1953
15.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
1684
13.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
7612
61.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12202
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
6984
8.98 IPS |
|
|
Style Transfer (Q)
|
98% |
22728
29.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1802
66.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
879
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.7 IPS |
|
|
Text Classification (SP)
|
100% |
1168
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
330
441.1 IPS |
|
|
Text Classification (Q)
|
97% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1615
27.8 IPS |
|
|
Machine Translation (HP)
|
99% |
1273
22.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2206
49.2 IPS |
