Acer Predator PH317-51
Geekbench AI Score
1236
Single Precision Score
652
Half Precision Score
1551
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PLJKT |
| Upload Date | June 14 2025 03:03 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-7700HQ |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home Single Language (64-bit) |
| Model | Acer Predator PH317-51 |
| Motherboard | KBL Sienna_KLS |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-7700HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 2.81 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (HP)
|
100% |
296
55.1 IPS |
|
|
Image Classification (Q)
|
96% |
1454
271.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
546
8.86 IPS |
|
|
Image Segmentation (HP)
|
100% |
388
6.29 IPS |
|
|
Image Segmentation (Q)
|
97% |
861
14.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1612
1.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
1383
1.61 IPS |
|
|
Pose Estimation (Q)
|
86% |
2912
3.44 IPS |
|
|
Object Detection (SP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
58% |
916
100.1 IPS |
|
|
Face Detection (SP)
|
100% |
1897
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
731
8.69 IPS |
|
|
Face Detection (Q)
|
96% |
2709
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2218
17.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
918
7.07 IPS |
|
|
Depth Estimation (Q)
|
78% |
3517
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4200
5.40 IPS |
|
|
Style Transfer (HP)
|
100% |
3224
4.14 IPS |
|
|
Style Transfer (Q)
|
87% |
6179
8.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
886
32.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1134
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
766
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
401
535.0 IPS |
|
|
Text Classification (Q)
|
97% |
291
389.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
68% |
1244
24.0 IPS |
