LENOVO 80WW
Geekbench AI Score
1606
Single Precision Score
755
Half Precision Score
2083
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 06 2025 01:12 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7300HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | LENOVO 80WW |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7300HQ |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1193
221.9 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (Q)
|
96% |
1664
310.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
657
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
418
6.78 IPS |
|
|
Image Segmentation (Q)
|
97% |
1208
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2556
2.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
2042
2.38 IPS |
|
|
Pose Estimation (Q)
|
86% |
4235
5.01 IPS |
|
|
Object Detection (SP)
|
100% |
1145
90.8 IPS |
|
|
Object Detection (HP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (Q)
|
58% |
1230
134.3 IPS |
|
|
Face Detection (SP)
|
100% |
2173
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
780
9.26 IPS |
|
|
Face Detection (Q)
|
96% |
3329
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3122
24.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1043
8.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
4042
32.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5951
7.65 IPS |
|
|
Style Transfer (HP)
|
100% |
4472
5.75 IPS |
|
|
Style Transfer (Q)
|
87% |
7261
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1116
41.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
956
35.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1413
52.4 IPS |
|
|
Text Classification (SP)
|
100% |
887
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
459
613.2 IPS |
|
|
Text Classification (Q)
|
97% |
797
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
419
7.22 IPS |
|
|
Machine Translation (Q)
|
68% |
1335
25.8 IPS |
