LENOVO IdeaPad Z470
Geekbench AI Score
526
Single Precision Score
187
Half Precision Score
425
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | amolpatre |
| Upload Date | October 23 2024 04:50 PM |
| Views | 5 |
| Notes | AI Benchmark 23-Oct-2024 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-2670QM |
| 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% |
374
69.6 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.8 IPS |
|
|
Image Classification (Q)
|
96% |
346
64.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
335
5.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
83
1.35 IPS |
|
|
Image Segmentation (Q)
|
97% |
384
6.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
687
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
590
0.69 IPS |
|
|
Pose Estimation (Q)
|
87% |
735
0.87 IPS |
|
|
Object Detection (SP)
|
100% |
343
27.2 IPS |
|
|
Object Detection (HP)
|
100% |
68
5.37 IPS |
|
|
Object Detection (Q)
|
90% |
296
23.7 IPS |
|
|
Face Detection (SP)
|
100% |
738
8.77 IPS |
|
|
Face Detection (HP)
|
100% |
103
1.22 IPS |
|
|
Face Detection (Q)
|
96% |
756
9.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
1067
8.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
272
2.10 IPS |
|
|
Depth Estimation (Q)
|
76% |
604
4.86 IPS |
|
|
Style Transfer (SP)
|
100% |
1935
2.49 IPS |
|
|
Style Transfer (HP)
|
100% |
1325
1.70 IPS |
|
|
Style Transfer (Q)
|
87% |
1395
1.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
315
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
258
9.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
312
11.5 IPS |
|
|
Text Classification (SP)
|
100% |
276
367.9 IPS |
|
|
Text Classification (HP)
|
100% |
175
233.3 IPS |
|
|
Text Classification (Q)
|
97% |
155
207.6 IPS |
|
|
Machine Translation (SP)
|
100% |
422
7.28 IPS |
|
|
Machine Translation (HP)
|
100% |
165
2.85 IPS |
|
|
Machine Translation (Q)
|
60% |
219
4.88 IPS |
