iPhone 16 Pro
Geekbench AI Score
4525
Single Precision Score
7637
Half Precision Score
6096
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 02:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2001
372.0 IPS |
|
|
Image Classification (HP)
|
100% |
3473
645.8 IPS |
|
|
Image Classification (Q)
|
96% |
2329
434.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1812
29.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2828
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3277
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8813
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17541
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
14709
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2281
180.9 IPS |
|
|
Object Detection (HP)
|
97% |
3710
295.4 IPS |
|
|
Object Detection (Q)
|
94% |
2608
207.9 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
6916
82.2 IPS |
|
|
Face Detection (Q)
|
100% |
3992
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7990
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13566
104.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9461
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21184
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36002
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29106
37.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5411
199.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7058
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5000
184.6 IPS |
|
|
Text Classification (SP)
|
100% |
3678
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6076
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
4126
71.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7212
124.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7255
125.4 IPS |
