LENOVO 20217
Geekbench AI Score
1020
Single Precision Score
572
Half Precision Score
1055
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | isasaid |
| Upload Date | November 16 2024 05:32 PM |
| Views | 23 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-4700MQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | LENOVO 20217 |
| Motherboard | LENOVO VIQY0Y1 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4700MQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
741
137.9 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
96% |
789
147.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
448
7.27 IPS |
|
|
Image Segmentation (HP)
|
100% |
335
5.43 IPS |
|
|
Image Segmentation (Q)
|
97% |
659
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1223
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1469
1.71 IPS |
|
|
Pose Estimation (Q)
|
87% |
1934
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
640
50.8 IPS |
|
|
Object Detection (HP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (Q)
|
86% |
551
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
1071
12.7 IPS |
|
|
Face Detection (HP)
|
100% |
664
7.89 IPS |
|
|
Face Detection (Q)
|
96% |
1580
18.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2116
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
784
6.04 IPS |
|
|
Depth Estimation (Q)
|
77% |
2046
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
4301
5.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3289
4.23 IPS |
|
|
Style Transfer (Q)
|
87% |
4928
6.41 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
798
29.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
819
30.3 IPS |
|
|
Text Classification (SP)
|
100% |
697
929.9 IPS |
|
|
Text Classification (HP)
|
100% |
364
485.9 IPS |
|
|
Text Classification (Q)
|
97% |
291
389.3 IPS |
|
|
Machine Translation (SP)
|
100% |
866
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
260
4.49 IPS |
|
|
Machine Translation (Q)
|
60% |
814
18.2 IPS |
