Acer Aspire A715-75G
Geekbench AI Score
4626
Single Precision Score
4302
Half Precision Score
3566
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 17 2024 04:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | Acer Aspire A715-75G |
| Motherboard | CFL Azalea_FMS |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9300H |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
2615
486.4 IPS |
|
|
Image Classification (Q)
|
100% |
1676
311.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3278
53.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1907
30.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2970
48.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
15029
17.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
28148
32.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
13995
16.4 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
2770
219.7 IPS |
|
|
Object Detection (Q)
|
89% |
1897
151.9 IPS |
|
|
Face Detection (SP)
|
100% |
4842
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
2370
28.2 IPS |
|
|
Face Detection (Q)
|
97% |
4437
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9916
76.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
10150
78.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
8174
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
28401
36.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37802
48.6 IPS |
|
|
Style Transfer (Q)
|
98% |
25603
33.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6192
228.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7691
284.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4887
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
1115
1.49 KIPS |
|
|
Text Classification (HP)
|
100% |
509
679.5 IPS |
|
|
Text Classification (Q)
|
97% |
656
878.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1907
32.8 IPS |
|
|
Machine Translation (HP)
|
98% |
1572
27.2 IPS |
|
|
Machine Translation (Q)
|
60% |
847
18.9 IPS |
