LENOVO 80XL
Geekbench AI Score
476
Single Precision Score
579
Half Precision Score
385
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | Benchmarker |
| Upload Date | August 18 2025 02:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) HD Graphics 610 |
| 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% |
215
39.9 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.5 IPS |
|
|
Image Classification (Q)
|
100% |
209
38.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
288
4.67 IPS |
|
|
Image Segmentation (HP)
|
100% |
362
5.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
244
3.97 IPS |
|
|
Pose Estimation (SP)
|
100% |
1005
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1616
1.89 IPS |
|
|
Pose Estimation (Q)
|
97% |
926
1.08 IPS |
|
|
Object Detection (SP)
|
100% |
225
17.9 IPS |
|
|
Object Detection (HP)
|
98% |
256
20.4 IPS |
|
|
Object Detection (Q)
|
86% |
211
17.0 IPS |
|
|
Face Detection (SP)
|
100% |
478
5.68 IPS |
|
|
Face Detection (HP)
|
100% |
597
7.09 IPS |
|
|
Face Detection (Q)
|
97% |
423
5.04 IPS |
|
|
Depth Estimation (SP)
|
100% |
831
6.40 IPS |
|
|
Depth Estimation (HP)
|
98% |
1098
8.49 IPS |
|
|
Depth Estimation (Q)
|
77% |
717
5.74 IPS |
|
|
Style Transfer (SP)
|
100% |
2572
3.31 IPS |
|
|
Style Transfer (HP)
|
100% |
3849
4.95 IPS |
|
|
Style Transfer (Q)
|
98% |
2234
2.88 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
528
19.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
420
15.5 IPS |
|
|
Text Classification (SP)
|
100% |
258
344.9 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (Q)
|
97% |
156
209.6 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.64 IPS |
|
|
Machine Translation (Q)
|
70% |
165
3.10 IPS |
