Acer Predator PH315-52
Geekbench AI Score
1480
Single Precision Score
1573
Half Precision Score
2272
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 09:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-9750H CPU @ 2.60GHz |
| 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% |
759
141.2 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
100% |
1277
237.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1211
19.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1816
29.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
3770
4.42 IPS |
|
|
Object Detection (SP)
|
100% |
780
61.8 IPS |
|
|
Object Detection (HP)
|
100% |
916
72.7 IPS |
|
|
Object Detection (Q)
|
87% |
1704
136.7 IPS |
|
|
Face Detection (SP)
|
100% |
2242
26.6 IPS |
|
|
Face Detection (HP)
|
100% |
2178
25.9 IPS |
|
|
Face Detection (Q)
|
97% |
4687
55.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2451
18.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2470
19.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
4166
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5937
7.63 IPS |
|
|
Style Transfer (HP)
|
100% |
6316
8.12 IPS |
|
|
Style Transfer (Q)
|
98% |
10786
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
824
30.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
871
32.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1989
73.7 IPS |
|
|
Text Classification (SP)
|
100% |
1030
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1181
1.58 KIPS |
|
|
Text Classification (Q)
|
91% |
378
508.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1514
26.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1551
26.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1557
26.8 IPS |
