iPhone 16 Pro
Geekbench AI Score
3787
Single Precision Score
6560
Half Precision Score
5297
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | onion83 |
| Upload Date | September 19 2025 06:55 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1779
330.8 IPS |
|
|
Image Classification (HP)
|
100% |
3159
587.4 IPS |
|
|
Image Classification (Q)
|
96% |
2270
423.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1607
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2630
42.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2591
42.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7468
8.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
15045
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
13158
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (HP)
|
97% |
3008
239.5 IPS |
|
|
Object Detection (Q)
|
94% |
2124
169.3 IPS |
|
|
Face Detection (SP)
|
100% |
2807
33.4 IPS |
|
|
Face Detection (HP)
|
100% |
5897
70.1 IPS |
|
|
Face Detection (Q)
|
100% |
3404
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6838
52.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
11243
86.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
7871
61.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19573
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
30958
39.8 IPS |
|
|
Style Transfer (Q)
|
96% |
25321
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4888
180.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5888
217.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4141
152.9 IPS |
|
|
Text Classification (SP)
|
100% |
3144
4.20 KIPS |
|
|
Text Classification (HP)
|
99% |
5546
7.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5514
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2556
44.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5861
101.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6831
118.0 IPS |
