iPhone 16 Pro
Geekbench AI Score
4486
Single Precision Score
7627
Half Precision Score
5929
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | March 12 2026 06:35 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1919
356.8 IPS |
|
|
Image Classification (HP)
|
100% |
3432
638.2 IPS |
|
|
Image Classification (Q)
|
96% |
2269
423.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2217
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7772
9.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
16459
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14099
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2217
175.9 IPS |
|
|
Object Detection (HP)
|
97% |
3675
292.6 IPS |
|
|
Object Detection (Q)
|
94% |
2624
209.1 IPS |
|
|
Face Detection (SP)
|
100% |
3650
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
7041
83.7 IPS |
|
|
Face Detection (Q)
|
100% |
4001
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8041
62.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
13674
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9569
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22441
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35907
46.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30151
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5499
203.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7158
264.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5108
188.6 IPS |
|
|
Text Classification (SP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (HP)
|
99% |
6505
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6405
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4272
73.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7662
132.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7646
132.1 IPS |
