Acer Predator PHN16-72
Geekbench AI Score
4697
Single Precision Score
1356
Half Precision Score
7221
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 22 2024 08:12 AM |
| Views | 2 |
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% |
3752
697.8 IPS |
|
|
Image Classification (HP)
|
100% |
470
87.5 IPS |
|
|
Image Classification (Q)
|
99% |
5737
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1960
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
840
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3680
59.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9938
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
4218
4.92 IPS |
|
|
Pose Estimation (Q)
|
94% |
29065
34.1 IPS |
|
|
Object Detection (SP)
|
100% |
3442
273.0 IPS |
|
|
Object Detection (HP)
|
100% |
602
47.7 IPS |
|
|
Object Detection (Q)
|
86% |
6597
530.2 IPS |
|
|
Face Detection (SP)
|
100% |
10074
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
1510
17.9 IPS |
|
|
Face Detection (Q)
|
97% |
9755
116.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
11115
85.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1836
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
16402
130.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21517
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
10063
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
27443
35.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3260
120.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1898
70.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4677
173.2 IPS |
|
|
Text Classification (SP)
|
100% |
1475
1.97 KIPS |
|
|
Text Classification (HP)
|
100% |
575
767.1 IPS |
|
|
Text Classification (Q)
|
97% |
1479
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1795
30.9 IPS |
|
|
Machine Translation (HP)
|
100% |
690
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3135
63.0 IPS |
