LENOVO 80XL
Geekbench AI Score
238
Single Precision Score
181
Half Precision Score
450
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | Benchmarker |
| Upload Date | August 18 2025 02:36 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium 4415U |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | LENOVO 80XL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Pentium 4415U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
88
16.5 IPS |
|
|
Image Classification (Q)
|
96% |
281
52.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
138
2.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.00 IPS |
|
|
Image Segmentation (Q)
|
97% |
338
5.50 IPS |
|
|
Pose Estimation (SP)
|
100% |
242
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
232
0.27 IPS |
|
|
Pose Estimation (Q)
|
86% |
578
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
140
11.1 IPS |
|
|
Object Detection (HP)
|
100% |
97
7.73 IPS |
|
|
Object Detection (Q)
|
58% |
215
23.5 IPS |
|
|
Face Detection (SP)
|
100% |
438
5.20 IPS |
|
|
Face Detection (HP)
|
100% |
270
3.21 IPS |
|
|
Face Detection (Q)
|
96% |
640
7.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
348
2.68 IPS |
|
|
Depth Estimation (HP)
|
99% |
256
1.97 IPS |
|
|
Depth Estimation (Q)
|
78% |
649
5.17 IPS |
|
|
Style Transfer (SP)
|
100% |
677
0.87 IPS |
|
|
Style Transfer (HP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (Q)
|
87% |
1315
1.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
152
5.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
144
5.31 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
343
12.7 IPS |
|
|
Text Classification (SP)
|
100% |
181
242.2 IPS |
|
|
Text Classification (HP)
|
100% |
134
179.3 IPS |
|
|
Text Classification (Q)
|
97% |
309
413.8 IPS |
|
|
Machine Translation (SP)
|
100% |
319
5.49 IPS |
|
|
Machine Translation (HP)
|
100% |
173
2.98 IPS |
|
|
Machine Translation (Q)
|
68% |
505
9.76 IPS |
