Dell Inc. Latitude 3420
Geekbench AI Score
838
Single Precision Score
841
Half Precision Score
509
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | koeqaife |
| Upload Date | October 20 2024 02:44 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-1145G7 |
| System Information | |
|---|---|
| Operating System | Arch Linux |
| Model | Dell Inc. Latitude 3420 |
| Motherboard | Dell Inc. 0MC6DP |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1145G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.40 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 15.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
774
143.9 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.6 IPS |
|
|
Image Classification (Q)
|
99% |
329
61.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
791
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
396
6.44 IPS |
|
|
Pose Estimation (SP)
|
100% |
853
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
896
1.05 IPS |
|
|
Pose Estimation (Q)
|
96% |
768
0.90 IPS |
|
|
Object Detection (SP)
|
100% |
635
50.3 IPS |
|
|
Object Detection (HP)
|
100% |
625
49.6 IPS |
|
|
Object Detection (Q)
|
85% |
355
28.6 IPS |
|
|
Face Detection (SP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
988
11.7 IPS |
|
|
Face Detection (Q)
|
97% |
750
8.94 IPS |
|
|
Depth Estimation (SP)
|
100% |
919
7.08 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
63% |
567
5.32 IPS |
|
|
Style Transfer (SP)
|
100% |
1332
1.71 IPS |
|
|
Style Transfer (HP)
|
100% |
1269
1.63 IPS |
|
|
Style Transfer (Q)
|
98% |
1617
2.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
584
21.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
619
22.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
894
1.19 KIPS |
|
|
Text Classification (HP)
|
100% |
1032
1.38 KIPS |
|
|
Text Classification (Q)
|
92% |
390
523.3 IPS |
|
|
Machine Translation (SP)
|
100% |
838
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (Q)
|
58% |
273
6.41 IPS |
