LENOVO 83EU
Geekbench AI Score
1640
Single Precision Score
1682
Half Precision Score
1039
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | henriqueffc |
| Upload Date | August 29 2024 03:18 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core 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% |
1141
212.1 IPS |
|
|
Image Classification (HP)
|
100% |
1188
221.0 IPS |
|
|
Image Classification (Q)
|
99% |
696
129.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1481
24.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
730
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2041
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
2031
2.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
1850
2.17 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
100% |
1195
94.8 IPS |
|
|
Object Detection (Q)
|
86% |
734
59.0 IPS |
|
|
Face Detection (SP)
|
100% |
2085
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2083
24.7 IPS |
|
|
Face Detection (Q)
|
97% |
1645
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2069
15.9 IPS |
|
|
Depth Estimation (HP)
|
100% |
2070
15.9 IPS |
|
|
Depth Estimation (Q)
|
74% |
1581
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
2804
3.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2905
3.73 IPS |
|
|
Style Transfer (Q)
|
98% |
3714
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1233
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
956
35.4 IPS |
|
|
Text Classification (SP)
|
100% |
1237
1.65 KIPS |
|
|
Text Classification (HP)
|
100% |
1239
1.65 KIPS |
|
|
Text Classification (Q)
|
92% |
499
670.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1933
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1952
33.6 IPS |
|
|
Machine Translation (Q)
|
58% |
464
10.9 IPS |
