iPhone 16 Pro
Geekbench AI Score
4775
Single Precision Score
7943
Half Precision Score
6372
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 20 2025 03:13 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2051
381.4 IPS |
|
|
Image Classification (HP)
|
100% |
3341
621.3 IPS |
|
|
Image Classification (Q)
|
96% |
2307
430.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1855
30.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2865
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3327
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9859
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19231
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16382
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2359
187.1 IPS |
|
|
Object Detection (HP)
|
97% |
3784
301.2 IPS |
|
|
Object Detection (Q)
|
94% |
2671
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
3843
45.7 IPS |
|
|
Face Detection (HP)
|
100% |
7387
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4196
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8387
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13962
107.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9824
76.7 IPS |
|
|
Style Transfer (SP)
|
100% |
23601
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38860
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31931
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5747
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5167
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6303
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6140
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4257
73.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7879
136.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7872
136.0 IPS |
