LENOVO IdeaPad Z470
Geekbench AI Score
572
Single Precision Score
206
Half Precision Score
425
Quantized Score
Geekbench AI 1.0.0 for Windows x86 (64-bit)
Result Information
| User | amolpatre |
| Upload Date | August 27 2024 04:15 PM |
| Views | 8 |
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 | 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% |
404
75.1 IPS |
|
|
Image Classification (HP)
|
100% |
61
11.3 IPS |
|
|
Image Classification (Q)
|
96% |
338
63.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
345
5.60 IPS |
|
|
Image Segmentation (HP)
|
100% |
85
1.38 IPS |
|
|
Image Segmentation (Q)
|
97% |
389
6.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
880
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
87% |
784
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
67
5.28 IPS |
|
|
Object Detection (Q)
|
90% |
286
22.9 IPS |
|
|
Face Detection (SP)
|
100% |
707
8.40 IPS |
|
|
Face Detection (HP)
|
100% |
105
1.24 IPS |
|
|
Face Detection (Q)
|
96% |
542
6.46 IPS |
|
|
Depth Estimation (SP)
|
100% |
688
5.30 IPS |
|
|
Depth Estimation (HP)
|
99% |
284
2.19 IPS |
|
|
Depth Estimation (Q)
|
76% |
634
5.11 IPS |
|
|
Style Transfer (SP)
|
100% |
2104
2.70 IPS |
|
|
Style Transfer (HP)
|
100% |
1723
2.22 IPS |
|
|
Style Transfer (Q)
|
87% |
1722
2.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
396
14.7 IPS |
|
|
Text Classification (SP)
|
100% |
368
491.0 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.8 IPS |
|
|
Text Classification (Q)
|
97% |
135
180.2 IPS |
|
|
Machine Translation (SP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (HP)
|
100% |
182
3.13 IPS |
|
|
Machine Translation (Q)
|
60% |
209
4.67 IPS |
