LENOVO 80WK
Geekbench AI Score
1263
Single Precision Score
644
Half Precision Score
1409
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 18 2024 03:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | LENOVO 80WK |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
790
146.9 IPS |
|
|
Image Classification (HP)
|
100% |
258
48.0 IPS |
|
|
Image Classification (Q)
|
96% |
1233
230.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
835
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2177
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1632
1.90 IPS |
|
|
Pose Estimation (Q)
|
87% |
3723
4.40 IPS |
|
|
Object Detection (SP)
|
100% |
833
66.1 IPS |
|
|
Object Detection (HP)
|
100% |
316
25.1 IPS |
|
|
Object Detection (Q)
|
86% |
768
61.7 IPS |
|
|
Face Detection (SP)
|
100% |
1092
13.0 IPS |
|
|
Face Detection (HP)
|
100% |
592
7.04 IPS |
|
|
Face Detection (Q)
|
96% |
1923
22.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2333
18.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
921
7.09 IPS |
|
|
Depth Estimation (Q)
|
77% |
2288
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4520
5.81 IPS |
|
|
Style Transfer (HP)
|
100% |
4144
5.33 IPS |
|
|
Style Transfer (Q)
|
87% |
6730
8.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
939
34.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1342
49.7 IPS |
|
|
Text Classification (SP)
|
100% |
1012
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
399
532.3 IPS |
|
|
Text Classification (Q)
|
97% |
284
379.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1042
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
333
5.74 IPS |
|
|
Machine Translation (Q)
|
60% |
929
20.7 IPS |
