Acer Predator PHN16-73
Geekbench AI Score
5640
Single Precision Score
9060
Half Precision Score
13417
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 29 2025 03:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Predator PHN16-73 |
| Motherboard | ARL Macan_ARX |
| Power Plan | Balanced |
| 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% |
3916
728.3 IPS |
|
|
Image Classification (HP)
|
100% |
5961
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
7784
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4172
67.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8978
145.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
11501
186.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11535
13.5 IPS |
|
|
Pose Estimation (HP)
|
99% |
10754
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
34809
40.8 IPS |
|
|
Object Detection (SP)
|
100% |
3609
286.3 IPS |
|
|
Object Detection (HP)
|
100% |
5710
453.0 IPS |
|
|
Object Detection (Q)
|
88% |
9456
757.8 IPS |
|
|
Face Detection (SP)
|
100% |
8434
100.2 IPS |
|
|
Face Detection (HP)
|
100% |
16547
196.6 IPS |
|
|
Face Detection (Q)
|
100% |
25653
304.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
12492
96.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
21949
169.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
24617
191.3 IPS |
|
|
Style Transfer (SP)
|
100% |
28845
37.1 IPS |
|
|
Style Transfer (HP)
|
100% |
38885
50.0 IPS |
|
|
Style Transfer (Q)
|
98% |
80642
104.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5105
188.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9082
335.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14112
522.6 IPS |
|
|
Text Classification (SP)
|
71% |
1507
2.18 KIPS |
|
|
Text Classification (HP)
|
71% |
2392
3.46 KIPS |
|
|
Text Classification (Q)
|
92% |
2428
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2051
35.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3698
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3677
63.5 IPS |
