iPhone 16 Pro
Geekbench AI Score
4759
Single Precision Score
7932
Half Precision Score
6357
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MarkJWilcox |
| Upload Date | November 02 2025 08:33 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2043
379.9 IPS |
|
|
Image Classification (HP)
|
100% |
3429
637.7 IPS |
|
|
Image Classification (Q)
|
96% |
2318
432.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1842
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2841
46.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3318
53.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9831
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19102
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16083
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2360
187.2 IPS |
|
|
Object Detection (HP)
|
97% |
3788
301.6 IPS |
|
|
Object Detection (Q)
|
94% |
2670
212.8 IPS |
|
|
Face Detection (SP)
|
100% |
3804
45.2 IPS |
|
|
Face Detection (HP)
|
100% |
7322
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4204
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8329
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13855
107.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9812
76.6 IPS |
|
|
Style Transfer (SP)
|
100% |
23683
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38708
49.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31508
40.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7327
270.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5162
190.6 IPS |
|
|
Text Classification (SP)
|
100% |
3707
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6153
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
4219
72.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7906
136.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7919
136.8 IPS |
