iPhone 16 Pro
Geekbench AI Score
4657
Single Precision Score
7810
Half Precision Score
6312
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | iantm |
| Upload Date | November 28 2025 03:23 PM |
| Views | 3 |
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% |
2033
378.1 IPS |
|
|
Image Classification (HP)
|
100% |
3442
640.1 IPS |
|
|
Image Classification (Q)
|
96% |
2323
433.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2902
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3314
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18666
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15967
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2174
172.5 IPS |
|
|
Object Detection (HP)
|
97% |
3539
281.7 IPS |
|
|
Object Detection (Q)
|
94% |
2636
210.1 IPS |
|
|
Face Detection (SP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
6998
83.2 IPS |
|
|
Face Detection (Q)
|
100% |
4102
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8009
61.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13782
106.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9699
75.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22652
29.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37654
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31362
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5704
210.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7200
265.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5158
190.5 IPS |
|
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
|
Text Classification (HP)
|
99% |
6215
8.29 KIPS |
|
|
Text Classification (Q)
|
93% |
6141
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7883
136.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7848
135.6 IPS |
