LENOVO 80HW
Geekbench AI Score
175
Single Precision Score
126
Half Precision Score
266
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 05 2025 04:16 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Pentium(R) 3558U @ 1.70GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | LENOVO 80HW |
| Motherboard | LENOVO Lenovo G70-70 |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | Intel(R) Pentium(R) 3558U @ 1.70GHz |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 69 Stepping 1 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
105
19.6 IPS |
|
|
Image Classification (HP)
|
100% |
58
10.9 IPS |
|
|
Image Classification (Q)
|
96% |
175
32.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
109
1.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
89
1.44 IPS |
|
|
Image Segmentation (Q)
|
97% |
183
2.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
185
0.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
171
0.20 IPS |
|
|
Pose Estimation (Q)
|
86% |
331
0.39 IPS |
|
|
Object Detection (SP)
|
100% |
103
8.14 IPS |
|
|
Object Detection (HP)
|
100% |
69
5.49 IPS |
|
|
Object Detection (Q)
|
58% |
128
13.9 IPS |
|
|
Face Detection (SP)
|
100% |
317
3.77 IPS |
|
|
Face Detection (HP)
|
100% |
194
2.31 IPS |
|
|
Face Detection (Q)
|
96% |
421
5.03 IPS |
|
|
Depth Estimation (SP)
|
100% |
256
1.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
183
1.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
393
3.12 IPS |
|
|
Style Transfer (SP)
|
100% |
526
0.68 IPS |
|
|
Style Transfer (HP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (Q)
|
87% |
798
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
113
4.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
103
3.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
180
6.69 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.2 IPS |
|
|
Text Classification (HP)
|
100% |
89
119.1 IPS |
|
|
Text Classification (Q)
|
97% |
191
256.4 IPS |
|
|
Machine Translation (SP)
|
100% |
218
3.76 IPS |
|
|
Machine Translation (HP)
|
100% |
110
1.90 IPS |
|
|
Machine Translation (Q)
|
68% |
293
5.67 IPS |
