Acer Aspire A715-75G
Geekbench AI Score
6262
Single Precision Score
4896
Half Precision Score
4720
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | FrankenStryker |
| Upload Date | August 28 2025 09:23 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1650 |
| 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% |
2350
437.1 IPS |
|
|
Image Classification (HP)
|
100% |
2164
402.4 IPS |
|
|
Image Classification (Q)
|
99% |
2034
379.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4533
73.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3646
59.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3890
63.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
23640
27.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
15373
17.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
21018
24.6 IPS |
|
|
Object Detection (SP)
|
100% |
3054
242.2 IPS |
|
|
Object Detection (HP)
|
100% |
2845
225.7 IPS |
|
|
Object Detection (Q)
|
83% |
2647
213.8 IPS |
|
|
Face Detection (SP)
|
100% |
7510
89.2 IPS |
|
|
Face Detection (HP)
|
100% |
6075
72.2 IPS |
|
|
Face Detection (Q)
|
97% |
6498
77.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
14744
113.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
11039
85.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11550
92.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43595
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29677
38.2 IPS |
|
|
Style Transfer (Q)
|
98% |
37685
48.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8527
314.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6773
250.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6054
224.2 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
792
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
719
963.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2238
38.5 IPS |
|
|
Machine Translation (HP)
|
98% |
2152
37.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1014
19.0 IPS |
