Acer Predator PHN16S-71
Geekbench AI Score
23474
Single Precision Score
43120
Half Precision Score
18088
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 03:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 Ti Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Predator PHN16S-71 |
| Motherboard | ARL FTYPE_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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9717
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
15320
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
8629
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16930
274.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
28082
455.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16831
273.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
113161
132.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
389332
454.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
110501
129.4 IPS |
|
|
Object Detection (SP)
|
100% |
12204
968.0 IPS |
|
|
Object Detection (HP)
|
100% |
20845
1.65 KIPS |
|
|
Object Detection (Q)
|
83% |
10346
835.9 IPS |
|
|
Face Detection (SP)
|
100% |
32621
387.6 IPS |
|
|
Face Detection (HP)
|
100% |
51678
614.0 IPS |
|
|
Face Detection (Q)
|
97% |
27587
328.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
55481
427.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
115995
893.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
44528
355.4 IPS |
|
|
Style Transfer (SP)
|
100% |
188279
242.0 IPS |
|
|
Style Transfer (HP)
|
100% |
634258
815.3 IPS |
|
|
Style Transfer (Q)
|
98% |
164009
211.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31896
1.18 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63173
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24221
896.9 IPS |
|
|
Text Classification (SP)
|
100% |
3489
4.66 KIPS |
|
|
Text Classification (HP)
|
100% |
4360
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2107
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5899
101.6 IPS |
|
|
Machine Translation (HP)
|
100% |
6078
104.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2197
41.2 IPS |
