iPhone 16 Pro
Geekbench AI Score
5978
Single Precision Score
7145
Half Precision Score
6725
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 20 2025 06:45 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2867
533.1 IPS |
|
|
Image Classification (HP)
|
100% |
3198
594.7 IPS |
|
|
Image Classification (Q)
|
96% |
3145
587.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
4300
69.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4911
79.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
4731
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
15061
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17915
20.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
17086
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
3091
245.2 IPS |
|
|
Object Detection (HP)
|
100% |
3340
264.9 IPS |
|
|
Object Detection (Q)
|
92% |
3179
253.8 IPS |
|
|
Face Detection (SP)
|
100% |
7384
87.7 IPS |
|
|
Face Detection (HP)
|
100% |
10572
125.6 IPS |
|
|
Face Detection (Q)
|
100% |
8215
97.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
12730
98.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
14985
115.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
13968
109.1 IPS |
|
|
Style Transfer (SP)
|
100% |
31186
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
39431
50.7 IPS |
|
|
Style Transfer (Q)
|
96% |
38640
49.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7593
280.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8255
304.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6929
255.9 IPS |
|
|
Text Classification (SP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6149
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6235
8.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1164
20.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1223
21.1 IPS |
