Acer Predator PHN16-72
Geekbench AI Score
4303
Single Precision Score
1393
Half Precision Score
5504
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 03 2024 03:46 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Predator PHN16-72 |
| Motherboard | RPL EQE_RTX |
| Power Plan | Acer |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3373
627.2 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.2 IPS |
|
|
Image Classification (Q)
|
99% |
5766
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
863
14.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2892
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9594
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4186
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
27772
32.6 IPS |
|
|
Object Detection (SP)
|
100% |
3099
245.8 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
5018
403.3 IPS |
|
|
Face Detection (SP)
|
100% |
7644
90.8 IPS |
|
|
Face Detection (HP)
|
100% |
1491
17.7 IPS |
|
|
Face Detection (Q)
|
97% |
8583
102.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10138
78.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1774
13.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
14030
112.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20552
26.4 IPS |
|
|
Style Transfer (HP)
|
100% |
10331
13.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18967
24.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3044
112.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1908
70.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4105
152.0 IPS |
|
|
Text Classification (SP)
|
100% |
1381
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
654
872.8 IPS |
|
|
Text Classification (Q)
|
97% |
453
607.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1813
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
709
12.2 IPS |
|
|
Machine Translation (Q)
|
65% |
2586
52.0 IPS |
