Acer Predator PH317-51
Geekbench AI Score
1199
Single Precision Score
651
Half Precision Score
1550
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | PLJKT |
| Upload Date | May 22 2025 06:09 AM |
| Views | 9 |
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% |
795
147.8 IPS |
|
|
Image Classification (HP)
|
100% |
261
48.6 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
499
8.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
351
5.69 IPS |
|
|
Image Segmentation (Q)
|
97% |
764
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1477
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
1225
1.43 IPS |
|
|
Pose Estimation (Q)
|
86% |
2652
3.13 IPS |
|
|
Object Detection (SP)
|
100% |
678
53.8 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.5 IPS |
|
|
Object Detection (Q)
|
58% |
989
108.1 IPS |
|
|
Face Detection (SP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
758
9.00 IPS |
|
|
Face Detection (Q)
|
96% |
2879
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2121
16.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
962
7.41 IPS |
|
|
Depth Estimation (Q)
|
78% |
3568
28.5 IPS |
|
|
Style Transfer (SP)
|
100% |
4685
6.02 IPS |
|
|
Style Transfer (HP)
|
100% |
3449
4.43 IPS |
|
|
Style Transfer (Q)
|
87% |
6417
8.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
908
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
786
29.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1276
47.3 IPS |
|
|
Text Classification (SP)
|
100% |
784
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
433
577.5 IPS |
|
|
Text Classification (Q)
|
97% |
298
399.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1126
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
413
7.12 IPS |
|
|
Machine Translation (Q)
|
68% |
1171
22.6 IPS |
