Acer Predator PHN16-73
Geekbench AI Score
4696
Single Precision Score
8141
Half Precision Score
12661
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | October 05 2025 02:14 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3489
648.8 IPS |
|
|
Image Classification (HP)
|
100% |
5643
1.05 KIPS |
|
|
Image Classification (Q)
|
100% |
7370
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2383
38.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6687
108.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9577
155.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
11264
13.1 IPS |
|
|
Pose Estimation (HP)
|
99% |
10762
12.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
35950
42.1 IPS |
|
|
Object Detection (SP)
|
100% |
3145
249.5 IPS |
|
|
Object Detection (HP)
|
100% |
5414
429.4 IPS |
|
|
Object Detection (Q)
|
88% |
8868
710.7 IPS |
|
|
Face Detection (SP)
|
100% |
5104
60.6 IPS |
|
|
Face Detection (HP)
|
100% |
11258
133.8 IPS |
|
|
Face Detection (Q)
|
100% |
19838
235.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
10801
83.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
19966
154.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
24576
191.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26701
34.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38283
49.2 IPS |
|
|
Style Transfer (Q)
|
98% |
83864
108.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4702
173.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8638
318.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14338
531.0 IPS |
|
|
Text Classification (SP)
|
71% |
1543
2.23 KIPS |
|
|
Text Classification (HP)
|
71% |
2386
3.45 KIPS |
|
|
Text Classification (Q)
|
92% |
2434
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
1659
28.6 IPS |
|
|
Machine Translation (HP)
|
98% |
3281
56.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3297
57.0 IPS |
