iPhone 16 Pro
Geekbench AI Score
4648
Single Precision Score
7834
Half Precision Score
6259
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | valva_lop |
| Upload Date | October 05 2025 12:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2020
375.6 IPS |
|
|
Image Classification (HP)
|
100% |
3459
643.2 IPS |
|
|
Image Classification (Q)
|
96% |
2316
432.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2769
44.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3255
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9063
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17992
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15371
18.0 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
97% |
3752
298.7 IPS |
|
|
Object Detection (Q)
|
94% |
2647
210.9 IPS |
|
|
Face Detection (SP)
|
100% |
3781
44.9 IPS |
|
|
Face Detection (HP)
|
100% |
7211
85.7 IPS |
|
|
Face Detection (Q)
|
100% |
4144
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8228
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13854
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9751
76.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22737
29.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38060
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31143
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5461
201.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7208
266.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6176
8.24 KIPS |
|
|
Text Classification (Q)
|
93% |
6129
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
4212
72.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7961
137.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7746
133.9 IPS |
