iPhone 14 Pro Max
Geekbench AI Score
3603
Single Precision Score
6277
Half Precision Score
5130
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 07:21 PM |
| Views | 7 |
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% |
1435
266.9 IPS |
|
|
Image Classification (HP)
|
100% |
2613
486.0 IPS |
|
|
Image Classification (Q)
|
96% |
1802
336.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1418
23.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2675
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7086
8.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
15596
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13536
15.9 IPS |
|
|
Object Detection (SP)
|
100% |
1586
125.8 IPS |
|
|
Object Detection (HP)
|
97% |
2932
233.4 IPS |
|
|
Object Detection (Q)
|
94% |
2100
167.4 IPS |
|
|
Face Detection (SP)
|
100% |
3231
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
6103
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3519
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6024
46.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11665
90.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8087
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19119
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29893
38.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24767
32.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4103
151.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5112
188.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3913
144.5 IPS |
|
|
Text Classification (SP)
|
100% |
2809
3.75 KIPS |
|
|
Text Classification (HP)
|
99% |
4858
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4772
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3766
64.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7092
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7012
121.2 IPS |
