Acer Aspire A715-75G
Geekbench AI Score
1011
Single Precision Score
1045
Half Precision Score
1505
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | August 28 2025 09:29 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-9300H CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A715-75G |
| Motherboard | CFL Azalea_FMS |
| Power Plan | Acer |
| 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 | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
549
102.1 IPS |
|
|
Image Classification (HP)
|
100% |
587
109.2 IPS |
|
|
Image Classification (Q)
|
100% |
1002
186.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
681
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
705
11.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1134
18.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1039
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
1067
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
2053
2.41 IPS |
|
|
Object Detection (SP)
|
100% |
555
44.0 IPS |
|
|
Object Detection (HP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (Q)
|
87% |
1032
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
1543
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
2837
33.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1452
11.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1485
11.4 IPS |
|
|
Depth Estimation (Q)
|
81% |
2467
19.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3248
4.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3256
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
6321
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
699
25.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
710
26.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1199
44.4 IPS |
|
|
Text Classification (SP)
|
100% |
951
1.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (Q)
|
91% |
435
585.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1077
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
100% |
1078
18.6 IPS |
