Acer Predator PHN14-51
Geekbench AI Score
15872
Single Precision Score
25667
Half Precision Score
12400
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | September 16 2024 11:33 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Laptop GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Predator PHN14-51 |
| Motherboard | MTL Taycan_MTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6118
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
9608
1.79 KIPS |
|
|
Image Classification (Q)
|
100% |
5571
1.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10660
172.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
14142
229.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9909
161.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
91684
107.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
241354
281.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
80785
94.6 IPS |
|
|
Object Detection (SP)
|
100% |
7629
605.2 IPS |
|
|
Object Detection (HP)
|
100% |
12774
1.01 KIPS |
|
|
Object Detection (Q)
|
89% |
6413
513.3 IPS |
|
|
Face Detection (SP)
|
100% |
17518
208.1 IPS |
|
|
Face Detection (HP)
|
100% |
26578
315.8 IPS |
|
|
Face Detection (Q)
|
97% |
14673
174.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
36132
278.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
68845
531.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
29760
240.0 IPS |
|
|
Style Transfer (SP)
|
100% |
141098
181.4 IPS |
|
|
Style Transfer (HP)
|
100% |
342613
440.4 IPS |
|
|
Style Transfer (Q)
|
98% |
127664
164.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26310
971.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40070
1.48 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19745
731.1 IPS |
|
|
Text Classification (SP)
|
100% |
2860
3.82 KIPS |
|
|
Text Classification (HP)
|
99% |
3303
4.41 KIPS |
|
|
Text Classification (Q)
|
97% |
1830
2.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3311
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3571
61.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1493
33.3 IPS |
