Personal Laptop | Lenovo 82Y7 LENOVO 82Y7
Geekbench AI Score
2501
Single Precision Score
2569
Half Precision Score
5499
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | WalkTheEarth |
| Upload Date | January 21 2025 07:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i7-13700H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 82Y7 |
| Motherboard | LENOVO LNVNB161216 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1115
207.3 IPS |
|
|
Image Classification (HP)
|
100% |
1703
316.6 IPS |
|
|
Image Classification (Q)
|
100% |
3266
607.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2309
37.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3948
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2992
3.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
10460
12.3 IPS |
|
|
Object Detection (SP)
|
100% |
1689
134.0 IPS |
|
|
Object Detection (HP)
|
100% |
1230
97.6 IPS |
|
|
Object Detection (Q)
|
88% |
3653
292.8 IPS |
|
|
Face Detection (SP)
|
100% |
3415
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
5129
60.9 IPS |
|
|
Face Detection (Q)
|
100% |
9911
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4291
33.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4237
32.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
7526
58.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6206
7.98 IPS |
|
|
Style Transfer (HP)
|
100% |
5536
7.12 IPS |
|
|
Style Transfer (Q)
|
98% |
18596
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2310
85.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2353
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7356
272.4 IPS |
|
|
Text Classification (SP)
|
100% |
1840
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1827
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
2928
3.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2021
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1708
29.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1720
29.6 IPS |
