iPhone 14 Pro Max
Geekbench AI Score
4165
Single Precision Score
4648
Half Precision Score
4414
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TTV |
| Upload Date | October 31 2025 01:51 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1801
334.9 IPS |
|
|
Image Classification (HP)
|
100% |
1727
321.1 IPS |
|
|
Image Classification (Q)
|
96% |
1696
316.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2867
46.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2854
46.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11748
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12841
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12458
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1889
149.8 IPS |
|
|
Object Detection (HP)
|
100% |
1921
152.4 IPS |
|
|
Object Detection (Q)
|
92% |
1795
143.3 IPS |
|
|
Face Detection (SP)
|
100% |
5418
64.4 IPS |
|
|
Face Detection (HP)
|
100% |
6250
74.3 IPS |
|
|
Face Detection (Q)
|
100% |
5135
61.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8552
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9175
70.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8439
65.9 IPS |
|
|
Style Transfer (SP)
|
100% |
21174
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
24219
31.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23583
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5088
187.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4490
165.8 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
4793
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
4765
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
1042
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1103
19.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1188
20.5 IPS |
