LENOVO 20XXS8A100
Geekbench AI Score
2597
Single Precision Score
2593
Half Precision Score
7183
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | November 16 2024 12:38 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-1165G7 @ 2.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | LENOVO 20XXS8A100 |
| Motherboard | LENOVO 20XXS8A100 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1641
305.2 IPS |
|
|
Image Classification (HP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (Q)
|
100% |
5063
941.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2032
32.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4187
67.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2975
3.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2842
3.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
11486
13.5 IPS |
|
|
Object Detection (SP)
|
100% |
1552
123.1 IPS |
|
|
Object Detection (HP)
|
100% |
1559
123.7 IPS |
|
|
Object Detection (Q)
|
88% |
4750
380.8 IPS |
|
|
Face Detection (SP)
|
100% |
4053
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
3774
44.8 IPS |
|
|
Face Detection (Q)
|
100% |
10204
121.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3788
29.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
4024
31.0 IPS |
|
|
Depth Estimation (Q)
|
80% |
12498
99.0 IPS |
|
|
Style Transfer (SP)
|
100% |
7954
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
7897
10.2 IPS |
|
|
Style Transfer (Q)
|
98% |
30448
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1724
63.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6690
247.8 IPS |
|
|
Text Classification (SP)
|
100% |
1979
2.64 KIPS |
|
|
Text Classification (HP)
|
100% |
2014
2.69 KIPS |
|
|
Text Classification (Q)
|
92% |
4055
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2149
37.0 IPS |
|
|
Machine Translation (Q)
|
85% |
3004
52.6 IPS |
