Acer Predator PH315-52
Geekbench AI Score
931
Single Precision Score
1073
Half Precision Score
760
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 09:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 630 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PH315-52 |
| Motherboard | CFL Covini_CFS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-9750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (HP)
|
100% |
452
84.0 IPS |
|
|
Image Classification (Q)
|
100% |
403
75.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
568
9.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
632
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
494
8.04 IPS |
|
|
Pose Estimation (SP)
|
100% |
2245
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
3558
4.15 IPS |
|
|
Pose Estimation (Q)
|
97% |
2048
2.40 IPS |
|
|
Object Detection (SP)
|
100% |
478
37.9 IPS |
|
|
Object Detection (HP)
|
98% |
486
38.7 IPS |
|
|
Object Detection (Q)
|
86% |
431
34.7 IPS |
|
|
Face Detection (SP)
|
100% |
966
11.5 IPS |
|
|
Face Detection (HP)
|
100% |
1135
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
859
10.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1647
12.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
2048
15.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1426
11.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5668
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
8462
10.9 IPS |
|
|
Style Transfer (Q)
|
98% |
4869
6.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1125
41.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1573
58.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
875
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.2 IPS |
|
|
Text Classification (HP)
|
100% |
280
374.1 IPS |
|
|
Text Classification (Q)
|
97% |
262
351.6 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
475
8.18 IPS |
|
|
Machine Translation (Q)
|
70% |
270
5.06 IPS |
