iPhone 14 Pro Max
Geekbench AI Score
4127
Single Precision Score
4585
Half Precision Score
4284
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 12 2025 07:03 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone 14 Pro Max |
| Model ID | iPhone15,3 |
| Motherboard | D74AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1736
322.8 IPS |
|
|
Image Classification (HP)
|
100% |
1595
296.6 IPS |
|
|
Image Classification (Q)
|
96% |
1656
309.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2938
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2781
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11801
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12835
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12482
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1920
152.3 IPS |
|
|
Object Detection (HP)
|
100% |
1932
153.3 IPS |
|
|
Object Detection (Q)
|
92% |
1732
138.2 IPS |
|
|
Face Detection (SP)
|
100% |
5133
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
6225
74.0 IPS |
|
|
Face Detection (Q)
|
100% |
5041
59.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8494
65.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
9219
71.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8298
64.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21253
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23841
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23692
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4865
179.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5002
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4345
160.5 IPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4840
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4752
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1022
17.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1024
17.7 IPS |
