iPhone 16 Pro
Geekbench AI Score
5985
Single Precision Score
7009
Half Precision Score
6773
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 03:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
2948
548.2 IPS |
|
|
Image Classification (HP)
|
100% |
3021
561.7 IPS |
|
|
Image Classification (Q)
|
96% |
3135
585.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
4325
70.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4893
79.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
4690
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15070
17.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17644
20.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
17026
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
3088
244.9 IPS |
|
|
Object Detection (HP)
|
100% |
3452
273.8 IPS |
|
|
Object Detection (Q)
|
92% |
3413
272.5 IPS |
|
|
Face Detection (SP)
|
100% |
7300
86.7 IPS |
|
|
Face Detection (HP)
|
100% |
11059
131.4 IPS |
|
|
Face Detection (Q)
|
100% |
8353
99.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12806
98.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
14951
115.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
14010
109.4 IPS |
|
|
Style Transfer (SP)
|
100% |
29768
38.3 IPS |
|
|
Style Transfer (HP)
|
100% |
33142
42.6 IPS |
|
|
Style Transfer (Q)
|
96% |
37916
48.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7488
276.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8017
296.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7076
261.3 IPS |
|
|
Text Classification (SP)
|
100% |
3673
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6080
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1300
22.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1246
21.5 IPS |
