iPhone 16 Pro
Geekbench AI Score
4606
Single Precision Score
7698
Half Precision Score
6183
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | February 01 2026 04:53 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2062
383.5 IPS |
|
|
Image Classification (HP)
|
100% |
3493
649.6 IPS |
|
|
Image Classification (Q)
|
96% |
2327
434.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1863
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2803
45.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8901
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
16937
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14654
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.4 IPS |
|
|
Object Detection (HP)
|
97% |
3699
294.5 IPS |
|
|
Object Detection (Q)
|
94% |
2647
211.0 IPS |
|
|
Face Detection (SP)
|
100% |
3676
43.7 IPS |
|
|
Face Detection (HP)
|
100% |
7126
84.7 IPS |
|
|
Face Detection (Q)
|
100% |
4041
48.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8044
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13742
106.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9628
75.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22158
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
36186
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30494
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5409
199.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7125
263.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4975
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3685
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6140
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
4191
72.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7693
132.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7665
132.5 IPS |
