LENOVO 20VK0012MZ
Geekbench AI Score
2305
Single Precision Score
2271
Half Precision Score
7126
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | July 12 2025 03:24 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Devuan GNU/Linux 5 (daedalus) |
| Model | LENOVO 20VK0012MZ |
| Motherboard | LENOVO 20VK0012MZ |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1793
333.5 IPS |
|
|
Image Classification (HP)
|
100% |
1798
334.4 IPS |
|
|
Image Classification (Q)
|
100% |
5429
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1892
30.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
4666
75.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1841
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1482
1.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
8166
9.57 IPS |
|
|
Object Detection (SP)
|
100% |
1405
111.5 IPS |
|
|
Object Detection (HP)
|
100% |
1417
112.4 IPS |
|
|
Object Detection (Q)
|
88% |
4968
398.3 IPS |
|
|
Face Detection (SP)
|
100% |
3482
41.4 IPS |
|
|
Face Detection (HP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
12319
146.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3069
23.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3105
23.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
11979
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5116
6.58 IPS |
|
|
Style Transfer (HP)
|
100% |
5327
6.85 IPS |
|
|
Style Transfer (Q)
|
98% |
30618
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1584
58.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1708
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6478
239.9 IPS |
|
|
Text Classification (SP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
1997
2.67 KIPS |
|
|
Text Classification (Q)
|
92% |
4285
5.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2748
47.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2620
45.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2623
45.2 IPS |
