iPhone 16 Pro
Geekbench AI Score
3245
Single Precision Score
6158
Half Precision Score
5109
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | October 29 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1549
288.1 IPS |
|
|
Image Classification (HP)
|
100% |
3020
561.6 IPS |
|
|
Image Classification (Q)
|
96% |
2104
392.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1415
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2419
39.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2786
45.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6183
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
13239
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11731
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
1727
137.0 IPS |
|
|
Object Detection (HP)
|
97% |
3085
245.6 IPS |
|
|
Object Detection (Q)
|
94% |
2164
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
2576
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
5420
64.4 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5619
43.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
10454
80.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
7580
59.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13343
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
29712
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24390
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2610
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5966
220.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4046
149.4 IPS |
|
|
Text Classification (SP)
|
100% |
3806
5.08 KIPS |
|
|
Text Classification (HP)
|
99% |
6511
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6435
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
2889
49.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4021
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5341
92.3 IPS |
