iPhone 16 Pro
Geekbench AI Score
4552
Single Precision Score
7689
Half Precision Score
6148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 10:05 PM |
| Views | 1 |
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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3459
643.3 IPS |
|
|
Image Classification (Q)
|
96% |
2310
431.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2781
45.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3271
53.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8932
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17618
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15082
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2261
179.4 IPS |
|
|
Object Detection (HP)
|
97% |
3725
296.6 IPS |
|
|
Object Detection (Q)
|
94% |
2565
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3589
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
6895
81.9 IPS |
|
|
Face Detection (Q)
|
100% |
4010
47.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7960
61.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13675
105.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9578
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22027
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36972
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
29845
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5307
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7056
260.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4955
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3747
5.00 KIPS |
|
|
Text Classification (HP)
|
99% |
6126
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6099
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4167
71.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7596
131.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7622
131.7 IPS |
