iPhone 16 Pro
Geekbench AI Score
4655
Single Precision Score
7836
Half Precision Score
6252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 31 2025 07:29 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2017
375.2 IPS |
|
|
Image Classification (HP)
|
100% |
3472
645.7 IPS |
|
|
Image Classification (Q)
|
96% |
2325
434.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1826
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2788
45.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3283
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9191
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18395
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15241
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.2 IPS |
|
|
Object Detection (HP)
|
97% |
3769
300.1 IPS |
|
|
Object Detection (Q)
|
94% |
2644
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3746
44.5 IPS |
|
|
Face Detection (HP)
|
100% |
7286
86.6 IPS |
|
|
Face Detection (Q)
|
100% |
4128
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8217
63.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13813
106.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9677
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22318
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
38296
49.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30241
39.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5632
207.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7139
263.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5151
190.2 IPS |
|
|
Text Classification (SP)
|
100% |
3710
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6112
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6103
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4235
73.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7739
133.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7822
135.2 IPS |
