Acer Predator PHN16-72
Geekbench AI Score
4274
Single Precision Score
1289
Half Precision Score
6771
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 19 2025 05:28 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Acer Predator PHN16-72 |
| Motherboard | RPL EQE_RTX |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900HX |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3600
669.4 IPS |
|
|
Image Classification (HP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (Q)
|
99% |
4483
836.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
10531
171.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9575
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
3553
4.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
18677
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
3539
280.7 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
5838
469.2 IPS |
|
|
Face Detection (SP)
|
100% |
10676
126.9 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
7907
94.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10568
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1749
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
13216
105.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20455
26.3 IPS |
|
|
Style Transfer (HP)
|
100% |
9741
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
23461
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3031
111.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1794
66.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5204
192.7 IPS |
|
|
Text Classification (SP)
|
100% |
1177
1.57 KIPS |
|
|
Text Classification (HP)
|
100% |
617
824.0 IPS |
|
|
Text Classification (Q)
|
97% |
1090
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
65% |
2832
56.9 IPS |
