iPhone 16 Pro
Geekbench AI Score
6183
Single Precision Score
7647
Half Precision Score
7137
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 12 2026 06:40 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
3219
598.6 IPS |
|
|
Image Classification (HP)
|
100% |
3335
620.3 IPS |
|
|
Image Classification (Q)
|
96% |
3310
618.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
4284
69.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4944
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4761
77.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
15109
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17945
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17199
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3306
262.3 IPS |
|
|
Object Detection (HP)
|
100% |
3836
304.2 IPS |
|
|
Object Detection (Q)
|
91% |
3722
297.5 IPS |
|
|
Face Detection (SP)
|
100% |
7814
92.9 IPS |
|
|
Face Detection (HP)
|
100% |
11349
134.9 IPS |
|
|
Face Detection (Q)
|
100% |
10595
125.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
13092
100.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
15242
117.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
14259
111.6 IPS |
|
|
Style Transfer (SP)
|
100% |
32314
41.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40935
52.6 IPS |
|
|
Style Transfer (Q)
|
96% |
38844
50.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7691
284.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8411
310.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7415
273.8 IPS |
|
|
Text Classification (SP)
|
100% |
3742
4.99 KIPS |
|
|
Text Classification (HP)
|
99% |
6451
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6351
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1568
27.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1231
21.3 IPS |
