LENOVO IdeaPad Z470
Geekbench AI Score
248
Single Precision Score
243
Half Precision Score
748
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | amolpatre |
| Upload Date | August 27 2024 04:25 PM |
| Views | 7 |
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 | High performance |
| 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% |
324
60.3 IPS |
|
|
Image Classification (HP)
|
100% |
269
49.9 IPS |
|
|
Image Classification (Q)
|
100% |
574
106.8 IPS |
|
|
Image Segmentation (SP)
|
29% |
34
7.14 IPS |
|
|
Image Segmentation (HP)
|
29% |
34
7.08 IPS |
|
|
Image Segmentation (Q)
|
99% |
490
7.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
453
0.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
960
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
263
20.8 IPS |
|
|
Object Detection (Q)
|
87% |
448
36.0 IPS |
|
|
Face Detection (SP)
|
100% |
912
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (Q)
|
97% |
1257
15.0 IPS |
|
|
Depth Estimation (SP)
|
29% |
63
6.68 IPS |
|
|
Depth Estimation (HP)
|
29% |
63
6.71 IPS |
|
|
Depth Estimation (Q)
|
80% |
1184
9.39 IPS |
|
|
Style Transfer (SP)
|
31% |
129
1.75 IPS |
|
|
Style Transfer (HP)
|
31% |
128
1.75 IPS |
|
|
Style Transfer (Q)
|
98% |
2887
3.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
395
14.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
475
634.6 IPS |
|
|
Text Classification (HP)
|
100% |
475
633.8 IPS |
|
|
Text Classification (Q)
|
91% |
262
352.5 IPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
90% |
689
12.0 IPS |
