Acer Aspire A314-23P
Geekbench AI Score
869
Single Precision Score
871
Half Precision Score
610
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Anas_Hani |
| Upload Date | March 20 2025 03:10 PM |
| Views | 26 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 5 7520U |
| System Information | |
|---|---|
| Operating System | Kali GNU/Linux Rolling |
| Model | Acer Aspire A314-23P |
| Motherboard | MDU Evelyne_MDU |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7520U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 160 Stepping 0 |
| Base Frequency | 4.38 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
636
118.3 IPS |
|
|
Image Classification (HP)
|
100% |
635
118.0 IPS |
|
|
Image Classification (Q)
|
99% |
319
59.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
470
7.65 IPS |
|
|
Pose Estimation (SP)
|
100% |
1006
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
1011
1.18 IPS |
|
|
Pose Estimation (Q)
|
96% |
929
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (Q)
|
85% |
430
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
1023
12.2 IPS |
|
|
Face Detection (HP)
|
100% |
1026
12.2 IPS |
|
|
Face Detection (Q)
|
97% |
1029
12.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1028
7.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1029
7.93 IPS |
|
|
Depth Estimation (Q)
|
63% |
800
7.50 IPS |
|
|
Style Transfer (SP)
|
100% |
1408
1.81 IPS |
|
|
Style Transfer (HP)
|
100% |
1420
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
2008
2.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
553
20.5 IPS |
|
|
Text Classification (SP)
|
100% |
1076
1.44 KIPS |
|
|
Text Classification (HP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (Q)
|
92% |
403
541.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1048
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1058
18.2 IPS |
|
|
Machine Translation (Q)
|
58% |
324
7.60 IPS |
