LENOVO 83EU
Geekbench AI Score
2893
Single Precision Score
2867
Half Precision Score
6942
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | henriqueffc |
| Upload Date | August 29 2024 03:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-12450H |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 83EU |
| Motherboard | LENOVO LNVNB161216 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-12450H |
| Topology | 1 Processor, 8 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 3 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.35 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1817
337.9 IPS |
|
|
Image Classification (HP)
|
100% |
1787
332.3 IPS |
|
|
Image Classification (Q)
|
100% |
4212
783.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2011
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2016
32.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3696
60.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
3320
3.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
12249
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1753
139.0 IPS |
|
|
Object Detection (HP)
|
100% |
1682
133.4 IPS |
|
|
Object Detection (Q)
|
88% |
4342
348.1 IPS |
|
|
Face Detection (SP)
|
100% |
4234
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
4240
50.4 IPS |
|
|
Face Detection (Q)
|
100% |
9837
116.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4562
35.1 IPS |
|
|
Depth Estimation (HP)
|
100% |
4397
33.9 IPS |
|
|
Depth Estimation (Q)
|
80% |
11387
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9808
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9836
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34054
43.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2113
78.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6841
253.3 IPS |
|
|
Text Classification (SP)
|
100% |
1781
2.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (Q)
|
92% |
3187
4.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2713
46.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2682
46.2 IPS |
|
|
Machine Translation (Q)
|
85% |
3779
66.1 IPS |
