iPhone 14 Pro Max
Geekbench AI Score
3392
Single Precision Score
6324
Half Precision Score
5143
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | atti |
| Upload Date | April 04 2026 11:09 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1291
240.0 IPS |
|
|
Image Classification (HP)
|
100% |
2648
492.4 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2171
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2642
42.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6328
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
15547
18.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
13383
15.7 IPS |
|
|
Object Detection (SP)
|
100% |
1455
115.4 IPS |
|
|
Object Detection (HP)
|
97% |
2926
232.9 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6074
72.2 IPS |
|
|
Face Detection (Q)
|
100% |
3520
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
6000
46.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11752
90.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8205
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18575
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29438
37.8 IPS |
|
|
Style Transfer (Q)
|
96% |
24487
31.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3996
147.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5465
201.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3991
147.4 IPS |
|
|
Text Classification (SP)
|
100% |
2818
3.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4851
6.48 KIPS |
|
|
Text Classification (Q)
|
93% |
4827
6.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
3392
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7025
121.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7016
121.2 IPS |
