Acer Aspire F5-573G
Geekbench AI Score
776
Single Precision Score
777
Half Precision Score
1117
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 02:52 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i3-6006U CPU @ 2.00GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Acer Aspire F5-573G |
| Motherboard | Acer Captain_SK |
| CPU Information | |
|---|---|
| Name | Intel Core i3-6006U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 78 Stepping 3 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
438
81.4 IPS |
|
|
Image Classification (HP)
|
100% |
439
81.6 IPS |
|
|
Image Classification (Q)
|
100% |
663
123.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
511
8.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
512
8.29 IPS |
|
|
Image Segmentation (Q)
|
99% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
834
0.97 IPS |
|
|
Pose Estimation (Q)
|
94% |
1508
1.77 IPS |
|
|
Object Detection (SP)
|
100% |
434
34.4 IPS |
|
|
Object Detection (HP)
|
100% |
433
34.4 IPS |
|
|
Object Detection (Q)
|
87% |
691
55.4 IPS |
|
|
Face Detection (SP)
|
100% |
1238
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (Q)
|
97% |
1749
20.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1138
8.76 IPS |
|
|
Depth Estimation (HP)
|
99% |
1138
8.77 IPS |
|
|
Depth Estimation (Q)
|
81% |
1791
14.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2468
3.17 IPS |
|
|
Style Transfer (HP)
|
100% |
2473
3.18 IPS |
|
|
Style Transfer (Q)
|
98% |
4280
5.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
520
19.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
911
33.7 IPS |
|
|
Text Classification (SP)
|
100% |
590
787.6 IPS |
|
|
Text Classification (HP)
|
100% |
590
787.3 IPS |
|
|
Text Classification (Q)
|
91% |
539
724.0 IPS |
|
|
Machine Translation (SP)
|
100% |
924
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
927
16.0 IPS |
|
|
Machine Translation (Q)
|
100% |
918
15.8 IPS |
