iPhone 16 Pro
Geekbench AI Score
6149
Single Precision Score
7229
Half Precision Score
6892
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | mbuurman |
| Upload Date | September 20 2025 03:15 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2882
535.9 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.0 IPS |
|
|
Image Classification (Q)
|
96% |
3169
591.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
4457
72.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4962
80.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4801
77.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
15201
17.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18147
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
17803
20.9 IPS |
|
|
Object Detection (SP)
|
100% |
3201
253.9 IPS |
|
|
Object Detection (HP)
|
100% |
3421
271.4 IPS |
|
|
Object Detection (Q)
|
92% |
3242
258.8 IPS |
|
|
Face Detection (SP)
|
100% |
7892
93.8 IPS |
|
|
Face Detection (HP)
|
100% |
11116
132.1 IPS |
|
|
Face Detection (Q)
|
100% |
8956
106.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
13721
105.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
16113
124.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
13862
108.3 IPS |
|
|
Style Transfer (SP)
|
100% |
31818
40.9 IPS |
|
|
Style Transfer (HP)
|
100% |
40460
52.0 IPS |
|
|
Style Transfer (Q)
|
96% |
40053
51.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7446
274.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8354
308.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7076
261.3 IPS |
|
|
Text Classification (SP)
|
100% |
3744
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6111
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
6196
8.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1289
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1301
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1264
21.8 IPS |
