iPhone 14 Pro Max
Geekbench AI Score
3552
Single Precision Score
6253
Half Precision Score
5053
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 07 2025 02:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1426
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
2574
478.7 IPS |
|
|
Image Classification (Q)
|
96% |
1759
328.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1405
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2646
42.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7122
8.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
15775
18.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13455
15.8 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2908
231.5 IPS |
|
|
Object Detection (Q)
|
94% |
2066
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
2987
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5976
71.0 IPS |
|
|
Face Detection (Q)
|
100% |
3466
41.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6147
47.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11599
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8027
62.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19044
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29913
38.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24601
31.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4220
155.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5482
202.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3905
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
4916
6.56 KIPS |
|
|
Text Classification (Q)
|
93% |
4835
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3570
61.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6581
113.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6495
112.2 IPS |
