LENOVO 80WW
Geekbench AI Score
829
Single Precision Score
949
Half Precision Score
641
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 06 2025 01:25 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 630 |
| 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% |
352
65.5 IPS |
|
|
Image Classification (HP)
|
100% |
391
72.7 IPS |
|
|
Image Classification (Q)
|
100% |
356
66.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
513
8.31 IPS |
|
|
Image Segmentation (HP)
|
100% |
569
9.23 IPS |
|
|
Image Segmentation (Q)
|
98% |
409
6.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
1995
2.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
3198
3.73 IPS |
|
|
Pose Estimation (Q)
|
97% |
1790
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (HP)
|
98% |
427
33.9 IPS |
|
|
Object Detection (Q)
|
86% |
366
29.4 IPS |
|
|
Face Detection (SP)
|
100% |
798
9.49 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
637
7.59 IPS |
|
|
Depth Estimation (SP)
|
100% |
1456
11.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
1227
9.82 IPS |
|
|
Style Transfer (SP)
|
100% |
5088
6.54 IPS |
|
|
Style Transfer (HP)
|
100% |
7623
9.80 IPS |
|
|
Style Transfer (Q)
|
98% |
4224
5.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
729
27.0 IPS |
|
|
Text Classification (SP)
|
100% |
414
552.7 IPS |
|
|
Text Classification (HP)
|
100% |
266
355.7 IPS |
|
|
Text Classification (Q)
|
97% |
224
299.8 IPS |
|
|
Machine Translation (SP)
|
100% |
417
7.18 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
70% |
230
4.32 IPS |
