LENOVO 83FW
Geekbench AI Score
2190
Single Precision Score
903
Half Precision Score
3844
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | February 16 2025 04:00 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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.5 IPS |
|
|
Image Classification (Q)
|
99% |
3511
654.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
995
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (Q)
|
98% |
2074
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3401
3.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
2248
2.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
9979
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1652
131.0 IPS |
|
|
Object Detection (HP)
|
100% |
453
35.9 IPS |
|
|
Object Detection (Q)
|
86% |
3091
248.4 IPS |
|
|
Face Detection (SP)
|
100% |
3629
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1037
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
5243
62.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4430
34.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1233
9.50 IPS |
|
|
Depth Estimation (Q)
|
78% |
8382
66.9 IPS |
|
|
Style Transfer (SP)
|
100% |
7905
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
4986
6.41 IPS |
|
|
Style Transfer (Q)
|
98% |
11451
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1047
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2450
90.7 IPS |
|
|
Text Classification (SP)
|
100% |
1064
1.42 KIPS |
|
|
Text Classification (HP)
|
100% |
514
686.2 IPS |
|
|
Text Classification (Q)
|
97% |
1421
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1337
23.0 IPS |
|
|
Machine Translation (HP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (Q)
|
65% |
1791
36.0 IPS |
