Acer Predator PHN16-73
Geekbench AI Score
8999
Single Precision Score
9935
Half Precision Score
15113
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 22 2025 08:41 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN16-73 |
| Motherboard | ARL Macan_ARX |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 9 275HX |
| Topology | 1 Processor, 24 Cores |
| Identifier | GenuineIntel Family 6 Model 198 Stepping 2 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5769
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
6820
1.27 KIPS |
|
|
Image Classification (Q)
|
100% |
9461
1.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7985
129.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2886
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3890
63.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12994
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
34430
40.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
74101
86.8 IPS |
|
|
Object Detection (SP)
|
100% |
5538
439.3 IPS |
|
|
Object Detection (HP)
|
100% |
6150
487.8 IPS |
|
|
Object Detection (Q)
|
87% |
9903
794.8 IPS |
|
|
Face Detection (SP)
|
100% |
16257
193.2 IPS |
|
|
Face Detection (HP)
|
100% |
17523
208.2 IPS |
|
|
Face Detection (Q)
|
100% |
32050
380.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
14185
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
18778
144.7 IPS |
|
|
Depth Estimation (Q)
|
88% |
34933
271.8 IPS |
|
|
Style Transfer (SP)
|
100% |
37038
47.6 IPS |
|
|
Style Transfer (HP)
|
100% |
52641
67.7 IPS |
|
|
Style Transfer (Q)
|
98% |
96690
124.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7708
284.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14112
521.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23370
865.5 IPS |
|
|
Text Classification (SP)
|
100% |
4089
5.46 KIPS |
|
|
Text Classification (HP)
|
100% |
2092
2.79 KIPS |
|
|
Text Classification (Q)
|
92% |
2034
2.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3903
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4400
75.8 IPS |
|
|
Machine Translation (Q)
|
100% |
4475
77.1 IPS |
