iPhone 14 Pro Max
Geekbench AI Score
3310
Single Precision Score
6119
Half Precision Score
5005
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1343
249.7 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1357
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2636
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5926
6.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
13601
15.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
12246
14.4 IPS |
|
|
Object Detection (SP)
|
100% |
1407
111.6 IPS |
|
|
Object Detection (HP)
|
97% |
2898
230.7 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
2970
35.3 IPS |
|
|
Face Detection (HP)
|
100% |
5866
69.7 IPS |
|
|
Face Detection (Q)
|
100% |
3375
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5725
44.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11475
88.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7955
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
16811
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
28710
36.9 IPS |
|
|
Style Transfer (Q)
|
96% |
23688
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3841
141.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5036
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3869
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2820
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4988
6.66 KIPS |
|
|
Text Classification (Q)
|
93% |
4933
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
3356
57.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6857
118.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6738
116.4 IPS |
