iPhone 14 Pro Max
Geekbench AI Score
4150
Single Precision Score
4604
Half Precision Score
4304
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 05 2025 06:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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% |
1627
302.5 IPS |
|
|
Image Classification (HP)
|
100% |
1785
331.9 IPS |
|
|
Image Classification (Q)
|
96% |
1623
303.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2844
46.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2954
47.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2818
45.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
11680
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12814
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12458
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1908
151.3 IPS |
|
|
Object Detection (HP)
|
100% |
1893
150.2 IPS |
|
|
Object Detection (Q)
|
92% |
1768
141.1 IPS |
|
|
Face Detection (SP)
|
100% |
5258
62.5 IPS |
|
|
Face Detection (HP)
|
100% |
6110
72.6 IPS |
|
|
Face Detection (Q)
|
100% |
5124
60.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8549
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9078
69.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
8342
65.2 IPS |
|
|
Style Transfer (SP)
|
100% |
21218
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23737
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
23599
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4834
178.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5025
185.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4338
160.2 IPS |
|
|
Text Classification (SP)
|
100% |
2936
3.92 KIPS |
|
|
Text Classification (HP)
|
99% |
4810
6.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4734
6.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1088
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1046
18.1 IPS |
