iPhone 16 Pro
Geekbench AI Score
4696
Single Precision Score
7941
Half Precision Score
6303
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 12:38 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2054
382.0 IPS |
|
|
Image Classification (HP)
|
100% |
3394
631.2 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1999
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2888
46.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9612
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19078
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16004
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2357
187.0 IPS |
|
|
Object Detection (HP)
|
97% |
3831
305.0 IPS |
|
|
Object Detection (Q)
|
94% |
2660
212.0 IPS |
|
|
Face Detection (SP)
|
100% |
3959
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7601
90.3 IPS |
|
|
Face Detection (Q)
|
100% |
4224
50.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14535
112.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10121
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21124
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37959
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31295
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5492
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7400
273.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3392
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
6054
8.08 KIPS |
|
|
Text Classification (Q)
|
93% |
5929
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4282
73.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7417
128.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7440
128.6 IPS |
