LENOVO Y50-70 LENOVO INVALID
Geekbench AI Score
1125
Single Precision Score
607
Half Precision Score
1126
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | batest23 |
| Upload Date | October 25 2024 10:05 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4720HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO INVALID |
| Motherboard | LENOVO INVALID |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4720HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
747
139.0 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
96% |
872
162.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
510
8.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
372
6.03 IPS |
|
|
Image Segmentation (Q)
|
97% |
788
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2049
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1574
1.84 IPS |
|
|
Pose Estimation (Q)
|
87% |
2169
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (HP)
|
100% |
312
24.8 IPS |
|
|
Object Detection (Q)
|
86% |
690
55.5 IPS |
|
|
Face Detection (SP)
|
100% |
987
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
632
7.51 IPS |
|
|
Face Detection (Q)
|
96% |
1594
19.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2351
18.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
852
6.56 IPS |
|
|
Depth Estimation (Q)
|
77% |
2058
16.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4564
5.87 IPS |
|
|
Style Transfer (HP)
|
100% |
3429
4.41 IPS |
|
|
Style Transfer (Q)
|
87% |
4871
6.34 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
842
31.2 IPS |
|
|
Text Classification (SP)
|
100% |
878
1.17 KIPS |
|
|
Text Classification (HP)
|
100% |
350
466.9 IPS |
|
|
Text Classification (Q)
|
97% |
292
390.4 IPS |
|
|
Machine Translation (SP)
|
100% |
822
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
60% |
812
18.1 IPS |
