iPhone 16 Pro
Geekbench AI Score
4517
Single Precision Score
7706
Half Precision Score
6156
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Atirox |
| Upload Date | February 13 2025 11:54 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.7 IPS |
|
|
Image Classification (HP)
|
100% |
3372
627.0 IPS |
|
|
Image Classification (Q)
|
96% |
2277
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1936
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2890
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3362
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8905
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17838
20.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15338
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2126
168.6 IPS |
|
|
Object Detection (HP)
|
97% |
3753
298.8 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3615
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7318
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4125
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7568
58.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13824
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9648
75.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23687
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37062
47.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30337
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5561
205.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7011
258.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3427
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
6039
8.06 KIPS |
|
|
Text Classification (Q)
|
93% |
5902
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3847
66.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7139
123.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7092
122.6 IPS |
