LENOVO 83FW
Geekbench AI Score
2124
Single Precision Score
871
Half Precision Score
3885
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 16 2025 04:04 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 83FW |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1722
320.2 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
99% |
3742
697.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
607
9.85 IPS |
|
|
Image Segmentation (Q)
|
98% |
2184
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3347
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2000
2.33 IPS |
|
|
Pose Estimation (Q)
|
94% |
9574
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
100% |
424
33.7 IPS |
|
|
Object Detection (Q)
|
86% |
2989
240.2 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
1001
11.9 IPS |
|
|
Face Detection (Q)
|
97% |
5447
64.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4228
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1172
9.03 IPS |
|
|
Depth Estimation (Q)
|
78% |
8314
66.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7713
9.92 IPS |
|
|
Style Transfer (HP)
|
100% |
4848
6.23 IPS |
|
|
Style Transfer (Q)
|
98% |
11302
14.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1442
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1020
37.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2529
93.7 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
482
643.1 IPS |
|
|
Text Classification (Q)
|
97% |
1375
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1286
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (Q)
|
65% |
1883
37.8 IPS |
