Acer Aspire A315-59
Geekbench AI Score
3333
Single Precision Score
4526
Half Precision Score
7152
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tinman480 |
| Upload Date | September 09 2024 01:51 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A315-59 |
| Motherboard | ADL Callisto_ADU |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2004
372.7 IPS |
|
|
Image Classification (HP)
|
100% |
3000
557.9 IPS |
|
|
Image Classification (Q)
|
99% |
4043
754.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2926
47.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4729
76.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5865
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6891
8.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
5076
5.92 IPS |
|
|
Pose Estimation (Q)
|
97% |
23135
27.1 IPS |
|
|
Object Detection (SP)
|
100% |
1938
153.7 IPS |
|
|
Object Detection (HP)
|
100% |
2848
225.9 IPS |
|
|
Object Detection (Q)
|
90% |
4262
340.7 IPS |
|
|
Face Detection (SP)
|
100% |
5177
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
8507
101.1 IPS |
|
|
Face Detection (Q)
|
100% |
13173
156.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7201
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11290
87.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
15343
119.3 IPS |
|
|
Style Transfer (SP)
|
100% |
17816
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
25674
33.0 IPS |
|
|
Style Transfer (Q)
|
98% |
50475
65.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2876
106.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4300
158.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9023
334.1 IPS |
|
|
Text Classification (SP)
|
71% |
1025
1.48 KIPS |
|
|
Text Classification (HP)
|
71% |
1183
1.71 KIPS |
|
|
Text Classification (Q)
|
92% |
1151
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1104
19.0 IPS |
|
|
Machine Translation (HP)
|
96% |
1404
24.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1415
24.4 IPS |
