Acer Predator PH18-72
Geekbench AI Score
4372
Single Precision Score
1400
Half Precision Score
7100
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 01 2026 08:19 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PH18-72 |
| Motherboard | RPL IONIQ_RTX |
| Power Plan | Zrwnowaony |
| 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 | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3649
678.6 IPS |
|
|
Image Classification (HP)
|
100% |
497
92.5 IPS |
|
|
Image Classification (Q)
|
99% |
5846
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1851
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
897
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9666
157.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9548
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4243
4.95 IPS |
|
|
Pose Estimation (Q)
|
94% |
24623
28.9 IPS |
|
|
Object Detection (SP)
|
100% |
3194
253.3 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
86% |
5900
474.2 IPS |
|
|
Face Detection (SP)
|
100% |
10193
121.1 IPS |
|
|
Face Detection (HP)
|
100% |
1379
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
8452
100.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9819
75.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1949
15.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13922
111.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18739
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
10224
13.1 IPS |
|
|
Style Transfer (Q)
|
98% |
21956
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2938
108.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1828
67.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4632
171.5 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
618
824.4 IPS |
|
|
Text Classification (Q)
|
97% |
1202
1.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
1701
29.3 IPS |
|
|
Machine Translation (HP)
|
100% |
753
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
2757
55.4 IPS |
