iPhone 14 Pro Max
Geekbench AI Score
109
Single Precision Score
55
Half Precision Score
47
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 04:08 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1309
243.4 IPS |
|
|
Image Classification (HP)
|
100% |
1164
216.5 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
728
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2199
35.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6288
7.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
13169
15.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
6622
7.76 IPS |
|
|
Object Detection (SP)
|
100% |
1222
96.9 IPS |
|
|
Object Detection (HP)
|
98% |
1346
107.1 IPS |
|
|
Object Detection (Q)
|
94% |
556
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
3011
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
6081
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3507
41.7 IPS |
|
|
Depth Estimation (SP)
|
0
|
||
|
Depth Estimation (HP)
|
0
|
||
|
Depth Estimation (Q)
|
0
|
||
|
Style Transfer (SP)
|
100% |
11541
14.8 IPS |
|
|
Style Transfer (HP)
|
0
|
||
|
Style Transfer (Q)
|
0
|
||
|
Image Super-Resolution (SP)
|
0
|
||
|
Image Super-Resolution (HP)
|
0
|
||
|
Image Super-Resolution (Q)
|
0
|
||
|
Text Classification (SP)
|
0
|
||
|
Text Classification (HP)
|
0
|
||
|
Text Classification (Q)
|
0
|
||
|
Machine Translation (SP)
|
0
|
||
|
Machine Translation (HP)
|
0
|
||
|
Machine Translation (Q)
|
0
|
