LENOVO 82HL
Geekbench AI Score
1586
Single Precision Score
1539
Half Precision Score
4411
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Cifra45 |
| Upload Date | April 01 2025 06:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 (64-bit) |
| Model | LENOVO 82HL |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
966
179.6 IPS |
|
|
Image Classification (HP)
|
100% |
975
181.2 IPS |
|
|
Image Classification (Q)
|
100% |
2960
550.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1022
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2626
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1743
2.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1548
1.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
6793
7.96 IPS |
|
|
Object Detection (SP)
|
100% |
927
73.5 IPS |
|
|
Object Detection (HP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (Q)
|
88% |
2897
232.2 IPS |
|
|
Face Detection (SP)
|
100% |
2246
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2232
26.5 IPS |
|
|
Face Detection (Q)
|
100% |
6934
82.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2393
18.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1966
15.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
7306
56.8 IPS |
|
|
Style Transfer (SP)
|
100% |
4693
6.03 IPS |
|
|
Style Transfer (HP)
|
100% |
4609
5.93 IPS |
|
|
Style Transfer (Q)
|
98% |
17583
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1057
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3704
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
1198
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1200
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2767
3.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
2016
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2011
34.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1999
34.4 IPS |
