iPhone 16 Pro
Geekbench AI Score
4670
Single Precision Score
7876
Half Precision Score
6308
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 12:11 PM |
| Views | 5 |
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% |
2021
375.8 IPS |
|
|
Image Classification (HP)
|
100% |
3426
637.1 IPS |
|
|
Image Classification (Q)
|
96% |
2287
427.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1661
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2786
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3267
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9430
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18708
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15696
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2351
186.4 IPS |
|
|
Object Detection (HP)
|
97% |
3790
301.8 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.1 IPS |
|
|
Face Detection (SP)
|
100% |
3790
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
7330
87.1 IPS |
|
|
Face Detection (Q)
|
100% |
4207
50.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8338
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13882
107.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9794
76.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23360
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38358
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31191
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5789
213.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7215
266.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5165
190.7 IPS |
|
|
Text Classification (SP)
|
100% |
3696
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6189
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6124
8.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
4204
72.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7795
134.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7835
135.4 IPS |
