LENOVO 20L8SAL600
Geekbench AI Score
916
Single Precision Score
920
Half Precision Score
567
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | skitou |
| Upload Date | November 14 2024 12:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-8350U |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | LENOVO 20L8SAL600 |
| Motherboard | LENOVO 20L8SAL600 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8350U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 10 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 38.93 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
755
140.4 IPS |
|
|
Image Classification (HP)
|
100% |
733
136.3 IPS |
|
|
Image Classification (Q)
|
99% |
394
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
766
12.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
436
7.08 IPS |
|
|
Pose Estimation (SP)
|
100% |
858
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
875
1.02 IPS |
|
|
Pose Estimation (Q)
|
96% |
850
1.00 IPS |
|
|
Object Detection (SP)
|
100% |
705
55.9 IPS |
|
|
Object Detection (HP)
|
100% |
707
56.1 IPS |
|
|
Object Detection (Q)
|
85% |
412
33.1 IPS |
|
|
Face Detection (SP)
|
100% |
1184
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
870
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
931
7.17 IPS |
|
|
Depth Estimation (Q)
|
63% |
755
7.08 IPS |
|
|
Style Transfer (SP)
|
100% |
1210
1.56 IPS |
|
|
Style Transfer (HP)
|
100% |
1227
1.58 IPS |
|
|
Style Transfer (Q)
|
98% |
1825
2.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
673
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
630
23.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
567
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
1022
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1039
1.39 KIPS |
|
|
Text Classification (Q)
|
92% |
314
421.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1219
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (Q)
|
58% |
272
6.39 IPS |
