LENOVO 20EN001AUS
Geekbench AI Score
1510
Single Precision Score
722
Half Precision Score
1949
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Deslok |
| Upload Date | February 20 2025 03:55 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-6820HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 20EN001AUS |
| Motherboard | LENOVO 20EN001AUS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1122
208.7 IPS |
|
|
Image Classification (HP)
|
100% |
286
53.2 IPS |
|
|
Image Classification (Q)
|
96% |
1578
294.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
408
6.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
1168
19.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2299
2.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
1912
2.23 IPS |
|
|
Pose Estimation (Q)
|
86% |
3774
4.46 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.4 IPS |
|
|
Object Detection (HP)
|
100% |
341
27.0 IPS |
|
|
Object Detection (Q)
|
58% |
1105
120.7 IPS |
|
|
Face Detection (SP)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (HP)
|
100% |
729
8.66 IPS |
|
|
Face Detection (Q)
|
96% |
3157
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2921
22.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
989
7.62 IPS |
|
|
Depth Estimation (Q)
|
78% |
3864
30.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5569
7.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4185
5.38 IPS |
|
|
Style Transfer (Q)
|
87% |
6931
9.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
935
34.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1350
50.0 IPS |
|
|
Text Classification (SP)
|
100% |
872
1.16 KIPS |
|
|
Text Classification (HP)
|
100% |
445
593.5 IPS |
|
|
Text Classification (Q)
|
97% |
760
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1070
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
407
7.02 IPS |
|
|
Machine Translation (Q)
|
68% |
1187
22.9 IPS |
