LENOVO 20EGS0V700
Geekbench AI Score
965
Single Precision Score
559
Half Precision Score
1163
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 07 2025 05:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4810MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20EGS0V700 |
| Motherboard | LENOVO 20EGS0V700 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4810MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.79 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (HP)
|
100% |
207
38.4 IPS |
|
|
Image Classification (Q)
|
96% |
835
155.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.70 IPS |
|
|
Image Segmentation (Q)
|
97% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1498
1.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
1175
1.37 IPS |
|
|
Pose Estimation (Q)
|
86% |
1963
2.32 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (Q)
|
58% |
661
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
624
7.41 IPS |
|
|
Face Detection (Q)
|
96% |
2529
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2257
17.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
874
6.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
2326
18.6 IPS |
|
|
Style Transfer (SP)
|
100% |
4227
5.43 IPS |
|
|
Style Transfer (HP)
|
100% |
3108
4.00 IPS |
|
|
Style Transfer (Q)
|
87% |
4559
5.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
839
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
691
25.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
964
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
568
757.8 IPS |
|
|
Text Classification (HP)
|
100% |
373
498.3 IPS |
|
|
Text Classification (Q)
|
97% |
307
411.9 IPS |
|
|
Machine Translation (SP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
322
5.54 IPS |
|
|
Machine Translation (Q)
|
68% |
857
16.6 IPS |
