iPhone 16 Pro
Geekbench AI Score
4560
Single Precision Score
7687
Half Precision Score
6130
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 13 2025 11:55 AM |
| Views | 1 |
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% |
2053
381.8 IPS |
|
|
Image Classification (HP)
|
100% |
3465
644.3 IPS |
|
|
Image Classification (Q)
|
96% |
2324
434.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1852
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2824
45.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3303
53.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8993
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17270
20.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14733
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
2243
178.0 IPS |
|
|
Object Detection (HP)
|
97% |
3715
295.8 IPS |
|
|
Object Detection (Q)
|
94% |
2589
206.3 IPS |
|
|
Face Detection (SP)
|
100% |
3707
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
7078
84.1 IPS |
|
|
Face Detection (Q)
|
100% |
4009
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7996
61.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13616
105.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9504
74.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21093
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
36533
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
29589
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5262
194.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6966
257.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3683
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6192
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6125
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4185
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7557
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7443
128.6 IPS |
