Acer Predator PH315-52
Geekbench AI Score
1629
Single Precision Score
2412
Half Precision Score
2304
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 28 2025 09:43 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics 630 (iGPU) |
| 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% |
963
179.0 IPS |
|
|
Image Classification (HP)
|
100% |
1459
271.3 IPS |
|
|
Image Classification (Q)
|
100% |
1356
252.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1970
31.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1689
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2601
3.04 IPS |
|
|
Pose Estimation (HP)
|
99% |
2388
2.79 IPS |
|
|
Pose Estimation (Q)
|
97% |
3668
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
1010
80.1 IPS |
|
|
Object Detection (HP)
|
99% |
1647
131.0 IPS |
|
|
Object Detection (Q)
|
88% |
1539
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
5019
59.6 IPS |
|
|
Face Detection (Q)
|
97% |
4531
54.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3092
23.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
5246
40.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
4814
37.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7310
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
9950
12.8 IPS |
|
|
Style Transfer (Q)
|
98% |
9079
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1279
47.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2239
82.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2129
78.9 IPS |
|
|
Text Classification (SP)
|
71% |
674
974.6 IPS |
|
|
Text Classification (HP)
|
71% |
778
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
603
810.1 IPS |
|
|
Machine Translation (SP)
|
100% |
716
12.3 IPS |
|
|
Machine Translation (HP)
|
99% |
1296
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1283
22.2 IPS |
