iPhone 16 Pro
Geekbench AI Score
6209
Single Precision Score
7186
Half Precision Score
6931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | asymptotepmo |
| Upload Date | September 08 2025 11:09 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3036
564.5 IPS |
|
|
Image Classification (HP)
|
100% |
2633
489.7 IPS |
|
|
Image Classification (Q)
|
96% |
3142
586.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
4442
72.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4891
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4713
76.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
15898
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17415
20.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
17190
20.1 IPS |
|
|
Object Detection (SP)
|
100% |
3249
257.7 IPS |
|
|
Object Detection (HP)
|
100% |
3718
294.9 IPS |
|
|
Object Detection (Q)
|
92% |
3419
272.9 IPS |
|
|
Face Detection (SP)
|
100% |
8131
96.6 IPS |
|
|
Face Detection (HP)
|
100% |
11023
131.0 IPS |
|
|
Face Detection (Q)
|
100% |
8917
106.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14181
109.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
15533
119.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
13960
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
33016
42.4 IPS |
|
|
Style Transfer (HP)
|
100% |
39957
51.4 IPS |
|
|
Style Transfer (Q)
|
96% |
39945
51.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8104
299.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8200
302.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7502
277.0 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
6150
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6108
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
1142
19.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1277
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1291
22.3 IPS |
