LENOVO 82HS
Geekbench AI Score
755
Single Precision Score
431
Half Precision Score
1471
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | smalzahrni |
| Upload Date | September 27 2025 02:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Pentium Gold 7505 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | LENOVO 82HS |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Pentium Gold 7505 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
609
113.3 IPS |
|
|
Image Classification (HP)
|
100% |
232
43.2 IPS |
|
|
Image Classification (Q)
|
99% |
1627
303.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
367
5.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
944
15.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1176
1.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
991
1.16 IPS |
|
|
Pose Estimation (Q)
|
94% |
4171
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (Q)
|
86% |
1275
102.5 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
2700
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1538
11.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
744
5.73 IPS |
|
|
Depth Estimation (Q)
|
78% |
3681
29.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2818
3.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2294
2.95 IPS |
|
|
Style Transfer (Q)
|
98% |
4770
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
224
8.27 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
886
32.8 IPS |
|
|
Text Classification (SP)
|
100% |
358
478.1 IPS |
|
|
Text Classification (HP)
|
100% |
244
325.3 IPS |
|
|
Text Classification (Q)
|
97% |
156
209.1 IPS |
|
|
Machine Translation (SP)
|
100% |
426
7.34 IPS |
|
|
Machine Translation (HP)
|
100% |
246
4.24 IPS |
|
|
Machine Translation (Q)
|
65% |
891
17.9 IPS |
