LENOVO 83EU
Geekbench AI Score
1748
Single Precision Score
623
Half Precision Score
3645
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | henriqueffc |
| Upload Date | August 29 2024 03:29 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1066
198.2 IPS |
|
|
Image Classification (HP)
|
100% |
188
34.9 IPS |
|
|
Image Classification (Q)
|
97% |
2458
458.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
903
14.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.71 IPS |
|
|
Image Segmentation (Q)
|
99% |
2601
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2441
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1793
2.09 IPS |
|
|
Pose Estimation (Q)
|
95% |
12238
14.3 IPS |
|
|
Object Detection (SP)
|
100% |
1104
87.6 IPS |
|
|
Object Detection (HP)
|
100% |
237
18.8 IPS |
|
|
Object Detection (Q)
|
88% |
1333
106.9 IPS |
|
|
Face Detection (SP)
|
100% |
2208
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
384
4.56 IPS |
|
|
Face Detection (Q)
|
97% |
4064
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3171
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
917
7.07 IPS |
|
|
Depth Estimation (Q)
|
76% |
6390
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6337
8.15 IPS |
|
|
Style Transfer (HP)
|
100% |
4488
5.77 IPS |
|
|
Style Transfer (Q)
|
98% |
17209
22.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1308
48.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
969
35.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3527
130.6 IPS |
|
|
Text Classification (SP)
|
100% |
1208
1.61 KIPS |
|
|
Text Classification (HP)
|
100% |
516
688.2 IPS |
|
|
Text Classification (Q)
|
97% |
1407
1.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
1471
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
484
8.34 IPS |
|
|
Machine Translation (Q)
|
60% |
1791
39.9 IPS |
