LENOVO IdeaPad Z470
Geekbench AI Score
256
Single Precision Score
250
Half Precision Score
792
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | amolpatre |
| Upload Date | October 23 2024 05:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-2670QM CPU @ 2.20GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO IdeaPad Z470 |
| Motherboard | LENOVO KL6 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-2670QM |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 42 Stepping 7 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
313
58.2 IPS |
|
|
Image Classification (Q)
|
100% |
560
104.1 IPS |
|
|
Image Segmentation (SP)
|
29% |
33
6.95 IPS |
|
|
Image Segmentation (HP)
|
29% |
34
7.12 IPS |
|
|
Image Segmentation (Q)
|
99% |
617
10.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
433
0.51 IPS |
|
|
Pose Estimation (HP)
|
100% |
438
0.51 IPS |
|
|
Pose Estimation (Q)
|
94% |
951
1.12 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
87% |
441
35.4 IPS |
|
|
Face Detection (SP)
|
100% |
1010
12.0 IPS |
|
|
Face Detection (HP)
|
100% |
1007
12.0 IPS |
|
|
Face Detection (Q)
|
97% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
29% |
67
7.08 IPS |
|
|
Depth Estimation (HP)
|
29% |
62
6.56 IPS |
|
|
Depth Estimation (Q)
|
80% |
1379
10.9 IPS |
|
|
Style Transfer (SP)
|
31% |
127
1.72 IPS |
|
|
Style Transfer (HP)
|
31% |
126
1.72 IPS |
|
|
Style Transfer (Q)
|
98% |
2841
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
393
14.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
643
23.8 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.5 IPS |
|
|
Text Classification (HP)
|
100% |
538
717.5 IPS |
|
|
Text Classification (Q)
|
91% |
324
435.7 IPS |
|
|
Machine Translation (SP)
|
100% |
528
9.09 IPS |
|
|
Machine Translation (HP)
|
100% |
480
8.26 IPS |
|
|
Machine Translation (Q)
|
90% |
672
11.7 IPS |
