Acer Aspire F5-573G
Geekbench AI Score
1315
Single Precision Score
1310
Half Precision Score
969
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 27 2024 02:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce 940MX |
| 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% |
517
96.1 IPS |
|
|
Image Classification (HP)
|
100% |
521
97.0 IPS |
|
|
Image Classification (Q)
|
99% |
435
81.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
668
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
686
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
536
8.72 IPS |
|
|
Pose Estimation (SP)
|
100% |
4648
5.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
4310
5.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3944
4.62 IPS |
|
|
Object Detection (SP)
|
100% |
638
50.6 IPS |
|
|
Object Detection (HP)
|
100% |
647
51.3 IPS |
|
|
Object Detection (Q)
|
83% |
528
42.7 IPS |
|
|
Face Detection (SP)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
870
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2432
18.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2420
18.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
1901
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7369
9.47 IPS |
|
|
Style Transfer (HP)
|
100% |
7295
9.38 IPS |
|
|
Style Transfer (Q)
|
98% |
6154
7.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2090
77.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2016
74.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1368
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
502
670.0 IPS |
|
|
Text Classification (HP)
|
100% |
504
672.2 IPS |
|
|
Text Classification (Q)
|
97% |
292
391.5 IPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
96% |
731
12.6 IPS |
|
|
Machine Translation (Q)
|
70% |
372
6.98 IPS |
