iPhone 14 Pro Max
Geekbench AI Score
4160
Single Precision Score
4600
Half Precision Score
4299
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 15 2026 12:59 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% |
1729
321.6 IPS |
|
|
Image Classification (HP)
|
100% |
1718
319.5 IPS |
|
|
Image Classification (Q)
|
96% |
1647
307.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2849
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2828
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11700
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12819
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12464
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.6 IPS |
|
|
Object Detection (HP)
|
100% |
1898
150.6 IPS |
|
|
Object Detection (Q)
|
92% |
1745
139.3 IPS |
|
|
Face Detection (SP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
6206
73.7 IPS |
|
|
Face Detection (Q)
|
100% |
5146
61.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9051
69.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8341
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21203
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
24234
31.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23520
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4882
180.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5077
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4262
157.4 IPS |
|
|
Text Classification (SP)
|
100% |
2754
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4748
6.34 KIPS |
|
|
Text Classification (Q)
|
93% |
4694
6.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1056
18.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1054
18.2 IPS |
