iPhone 14 Pro Max
Geekbench AI Score
4165
Single Precision Score
4625
Half Precision Score
4415
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Ramonndafonseca |
| Upload Date | October 19 2025 02:32 AM |
| Views | 5 |
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% |
1743
324.1 IPS |
|
|
Image Classification (HP)
|
100% |
1714
318.8 IPS |
|
|
Image Classification (Q)
|
96% |
1747
326.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2850
46.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2809
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11818
13.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
12851
15.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
12478
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1848
146.6 IPS |
|
|
Object Detection (HP)
|
100% |
1930
153.1 IPS |
|
|
Object Detection (Q)
|
92% |
1763
140.7 IPS |
|
|
Face Detection (SP)
|
100% |
5267
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
6149
73.1 IPS |
|
|
Face Detection (Q)
|
100% |
5201
61.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8497
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9055
69.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
8376
65.4 IPS |
|
|
Style Transfer (SP)
|
100% |
21228
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23873
30.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23661
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4765
176.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5028
185.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4419
163.2 IPS |
|
|
Text Classification (SP)
|
100% |
2769
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4726
6.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
1157
19.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1212
20.9 IPS |
