Acer Predator PHN16-73
Geekbench AI Score
24596
Single Precision Score
44426
Half Precision Score
18734
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | hitch22 |
| Upload Date | July 29 2025 03:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| 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% |
9845
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
16692
3.10 KIPS |
|
|
Image Classification (Q)
|
100% |
8903
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18943
307.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
28552
462.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
16907
274.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123431
144.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
414396
483.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
121073
141.8 IPS |
|
|
Object Detection (SP)
|
100% |
13242
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
22091
1.75 KIPS |
|
|
Object Detection (Q)
|
83% |
10820
874.2 IPS |
|
|
Face Detection (SP)
|
100% |
34934
415.1 IPS |
|
|
Face Detection (HP)
|
100% |
53580
636.6 IPS |
|
|
Face Detection (Q)
|
97% |
29792
355.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
59574
459.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
112562
867.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
47341
377.9 IPS |
|
|
Style Transfer (SP)
|
100% |
204341
262.7 IPS |
|
|
Style Transfer (HP)
|
100% |
669823
861.1 IPS |
|
|
Style Transfer (Q)
|
98% |
171832
221.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33800
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
65322
2.41 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25452
942.5 IPS |
|
|
Text Classification (SP)
|
100% |
3384
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4232
5.65 KIPS |
|
|
Text Classification (Q)
|
97% |
2097
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
5467
94.2 IPS |
|
|
Machine Translation (HP)
|
100% |
6148
105.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2088
39.2 IPS |
