Acer Predator PHN16-73
Geekbench AI Score
24178
Single Precision Score
42994
Half Precision Score
18957
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | cfy0713 |
| Upload Date | October 05 2025 02:06 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| 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% |
9663
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
16289
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
8782
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17592
285.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
25510
413.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
16169
262.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
122209
142.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
421302
491.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
120164
140.8 IPS |
|
|
Object Detection (SP)
|
100% |
12589
998.6 IPS |
|
|
Object Detection (HP)
|
100% |
20329
1.61 KIPS |
|
|
Object Detection (Q)
|
83% |
10785
871.4 IPS |
|
|
Face Detection (SP)
|
100% |
33388
396.7 IPS |
|
|
Face Detection (HP)
|
100% |
49303
585.8 IPS |
|
|
Face Detection (Q)
|
97% |
28797
343.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
59910
461.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
118748
914.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
48102
383.9 IPS |
|
|
Style Transfer (SP)
|
100% |
202663
260.5 IPS |
|
|
Style Transfer (HP)
|
100% |
668327
859.1 IPS |
|
|
Style Transfer (Q)
|
98% |
174627
225.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33859
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64810
2.39 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26404
977.7 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
100% |
4328
5.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2135
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5398
93.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5526
95.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2389
44.8 IPS |
