iPhone 14 Pro Max
Geekbench AI Score
4147
Single Precision Score
4617
Half Precision Score
4309
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1701
316.4 IPS |
|
|
Image Classification (HP)
|
100% |
1679
312.3 IPS |
|
|
Image Classification (Q)
|
96% |
1639
306.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2817
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11772
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12798
14.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
12477
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1941
153.9 IPS |
|
|
Object Detection (HP)
|
100% |
1916
152.0 IPS |
|
|
Object Detection (Q)
|
92% |
1756
140.2 IPS |
|
|
Face Detection (SP)
|
100% |
5232
62.2 IPS |
|
|
Face Detection (HP)
|
100% |
6367
75.7 IPS |
|
|
Face Detection (Q)
|
100% |
5075
60.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9081
70.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
8333
65.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21209
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23945
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23649
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4817
177.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4951
182.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4333
160.0 IPS |
|
|
Text Classification (SP)
|
100% |
2771
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4792
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4758
6.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1106
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1059
18.3 IPS |
