iPhone 14 Pro Max
Geekbench AI Score
4180
Single Precision Score
4584
Half Precision Score
4318
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:45 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1685
313.4 IPS |
|
|
Image Classification (HP)
|
100% |
1775
330.1 IPS |
|
|
Image Classification (Q)
|
96% |
1734
323.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2891
46.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2914
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2816
45.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11777
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12909
15.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12424
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
1936
153.5 IPS |
|
|
Object Detection (Q)
|
92% |
1752
139.8 IPS |
|
|
Face Detection (SP)
|
100% |
5149
61.2 IPS |
|
|
Face Detection (HP)
|
100% |
6127
72.8 IPS |
|
|
Face Detection (Q)
|
100% |
5010
59.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8563
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8902
68.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
8288
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21205
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23229
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23492
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4917
181.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5019
185.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4342
160.3 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4736
6.32 KIPS |
|
|
Text Classification (Q)
|
93% |
4712
6.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
1181
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1054
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1064
18.4 IPS |
