Acer Predator PHN16-73
Geekbench AI Score
6984
Single Precision Score
2497
Half Precision Score
11423
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 29 2025 03:43 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 9 275HX |
| 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% |
5539
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
865
160.9 IPS |
|
|
Image Classification (Q)
|
99% |
9303
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
16901
274.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
14204
16.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
7877
9.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
45172
53.0 IPS |
|
|
Object Detection (SP)
|
100% |
5281
418.9 IPS |
|
|
Object Detection (HP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (Q)
|
86% |
11904
956.7 IPS |
|
|
Face Detection (SP)
|
100% |
15631
185.7 IPS |
|
|
Face Detection (HP)
|
100% |
2625
31.2 IPS |
|
|
Face Detection (Q)
|
97% |
13250
158.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15173
116.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3504
27.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
23507
187.6 IPS |
|
|
Style Transfer (SP)
|
100% |
30835
39.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18692
24.0 IPS |
|
|
Style Transfer (Q)
|
98% |
31569
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5355
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3264
120.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6798
251.7 IPS |
|
|
Text Classification (SP)
|
100% |
1822
2.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1027
1.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1579
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3092
53.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4240
85.2 IPS |
