LENOVO 80WW
Geekbench AI Score
3403
Single Precision Score
3408
Half Precision Score
2541
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kitsunechan_2525 |
| Upload Date | June 06 2025 01:28 PM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1050 Ti |
| 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% |
710
132.1 IPS |
|
|
Image Classification (HP)
|
100% |
1321
245.7 IPS |
|
|
Image Classification (Q)
|
99% |
671
125.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1899
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1874
30.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20472
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
11383
13.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17247
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
1039
82.4 IPS |
|
|
Object Detection (HP)
|
100% |
1643
130.3 IPS |
|
|
Object Detection (Q)
|
83% |
946
76.4 IPS |
|
|
Face Detection (SP)
|
100% |
2130
25.3 IPS |
|
|
Face Detection (HP)
|
100% |
3136
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
1908
22.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7144
55.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
6688
51.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
5791
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
34216
44.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20994
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
27623
35.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6150
227.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4903
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4372
161.9 IPS |
|
|
Text Classification (SP)
|
100% |
1101
1.47 KIPS |
|
|
Text Classification (HP)
|
100% |
1188
1.59 KIPS |
|
|
Text Classification (Q)
|
97% |
505
676.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1822
31.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1760
30.4 IPS |
|
|
Machine Translation (Q)
|
70% |
813
15.3 IPS |
