LENOVO 20VK0012MZ
Geekbench AI Score
1034
Single Precision Score
968
Half Precision Score
501
Quantized Score
Geekbench AI 1.4.0 for Linux AVX2
Result Information
| User | flipflop |
| Upload Date | July 12 2025 03:08 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| 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% |
977
181.7 IPS |
|
|
Image Classification (HP)
|
100% |
944
175.5 IPS |
|
|
Image Classification (Q)
|
99% |
383
71.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1094
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1059
17.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
519
8.43 IPS |
|
|
Pose Estimation (SP)
|
100% |
1288
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
602
0.71 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.1 IPS |
|
|
Object Detection (HP)
|
100% |
683
54.2 IPS |
|
|
Object Detection (Q)
|
85% |
309
24.8 IPS |
|
|
Face Detection (SP)
|
100% |
1324
15.7 IPS |
|
|
Face Detection (HP)
|
100% |
1301
15.5 IPS |
|
|
Face Detection (Q)
|
97% |
799
9.53 IPS |
|
|
Depth Estimation (SP)
|
100% |
981
7.56 IPS |
|
|
Depth Estimation (HP)
|
99% |
966
7.44 IPS |
|
|
Depth Estimation (Q)
|
63% |
586
5.50 IPS |
|
|
Style Transfer (SP)
|
100% |
1408
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1388
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1523
1.96 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
727
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
407
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
1145
1.53 KIPS |
|
|
Text Classification (HP)
|
100% |
1150
1.54 KIPS |
|
|
Text Classification (Q)
|
92% |
353
474.0 IPS |
|
|
Machine Translation (SP)
|
100% |
965
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
58% |
268
6.28 IPS |
