Dell Inc. Vostro 5468
Geekbench AI Score
612
Single Precision Score
595
Half Precision Score
331
Quantized Score
Geekbench AI 1.2.0 for Linux AVX2
Result Information
| User | piotrso |
| Upload Date | March 11 2025 11:24 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i5-7200U |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Dell Inc. Vostro 5468 |
| Motherboard | Dell Inc. 00330K |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7200U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 9 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 31.21 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
99% |
205
38.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
482
7.82 IPS |
|
|
Image Segmentation (HP)
|
100% |
482
7.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
237
3.86 IPS |
|
|
Pose Estimation (SP)
|
100% |
627
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
642
0.75 IPS |
|
|
Pose Estimation (Q)
|
96% |
494
0.58 IPS |
|
|
Object Detection (SP)
|
100% |
382
30.3 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (Q)
|
85% |
215
17.3 IPS |
|
|
Face Detection (SP)
|
100% |
842
10.00 IPS |
|
|
Face Detection (HP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (Q)
|
97% |
485
5.79 IPS |
|
|
Depth Estimation (SP)
|
100% |
775
5.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
586
4.51 IPS |
|
|
Depth Estimation (Q)
|
63% |
429
4.02 IPS |
|
|
Style Transfer (SP)
|
100% |
1115
1.43 IPS |
|
|
Style Transfer (HP)
|
100% |
1096
1.41 IPS |
|
|
Style Transfer (Q)
|
98% |
1104
1.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
297
11.0 IPS |
|
|
Text Classification (SP)
|
100% |
601
801.8 IPS |
|
|
Text Classification (HP)
|
100% |
610
813.9 IPS |
|
|
Text Classification (Q)
|
92% |
217
292.1 IPS |
|
|
Machine Translation (SP)
|
100% |
919
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (Q)
|
58% |
207
4.86 IPS |
