Acer Predator PH315-52
Geekbench AI Score
630
Single Precision Score
229
Half Precision Score
894
Quantized Score
Geekbench AI 1.0.0 for Windows AVX2
Result Information
| Upload Date | January 19 2025 07:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-9300H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PH315-52 |
| Motherboard | CFL Covini_CFS |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
385
71.6 IPS |
|
|
Image Classification (HP)
|
100% |
62
11.5 IPS |
|
|
Image Classification (Q)
|
97% |
696
129.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
323
5.24 IPS |
|
|
Image Segmentation (HP)
|
100% |
90
1.46 IPS |
|
|
Image Segmentation (Q)
|
97% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1286
1.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
973
1.14 IPS |
|
|
Pose Estimation (Q)
|
87% |
2291
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
299
23.7 IPS |
|
|
Object Detection (HP)
|
100% |
62
4.90 IPS |
|
|
Object Detection (Q)
|
86% |
350
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (HP)
|
100% |
99
1.18 IPS |
|
|
Face Detection (Q)
|
96% |
876
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1169
9.00 IPS |
|
|
Depth Estimation (HP)
|
99% |
279
2.15 IPS |
|
|
Depth Estimation (Q)
|
76% |
1157
9.32 IPS |
|
|
Style Transfer (SP)
|
100% |
2190
2.82 IPS |
|
|
Style Transfer (HP)
|
100% |
1558
2.00 IPS |
|
|
Style Transfer (Q)
|
87% |
3607
4.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
810
30.0 IPS |
|
|
Text Classification (SP)
|
100% |
420
561.1 IPS |
|
|
Text Classification (HP)
|
100% |
227
303.2 IPS |
|
|
Text Classification (Q)
|
97% |
418
560.4 IPS |
|
|
Machine Translation (SP)
|
100% |
602
10.4 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (Q)
|
60% |
625
13.9 IPS |
