iPhone 14 Pro Max
Geekbench AI Score
4179
Single Precision Score
4608
Half Precision Score
4304
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 09:51 PM |
| Views | 5 |
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% |
1739
323.5 IPS |
|
|
Image Classification (HP)
|
100% |
1740
323.5 IPS |
|
|
Image Classification (Q)
|
96% |
1688
315.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2957
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2777
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11808
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12835
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12479
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1949
154.6 IPS |
|
|
Object Detection (HP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (Q)
|
92% |
1736
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
5425
64.5 IPS |
|
|
Face Detection (HP)
|
100% |
6080
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
5058
60.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
9210
71.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8312
64.9 IPS |
|
|
Style Transfer (SP)
|
100% |
20938
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23771
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23530
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4939
182.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5006
184.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4377
161.6 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4755
6.35 KIPS |
|
|
Text Classification (Q)
|
93% |
4728
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1071
18.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1050
18.1 IPS |
