iPhone 14 Pro Max
Geekbench AI Score
3343
Single Precision Score
6176
Half Precision Score
5054
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 01 2025 02:48 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1332
247.7 IPS |
|
|
Image Classification (HP)
|
100% |
2630
489.1 IPS |
|
|
Image Classification (Q)
|
96% |
1809
337.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1358
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2679
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6216
7.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
15092
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12527
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2946
234.6 IPS |
|
|
Object Detection (Q)
|
94% |
2116
168.6 IPS |
|
|
Face Detection (SP)
|
100% |
3007
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
5996
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3455
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5801
44.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
11485
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7982
62.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17796
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28629
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23747
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3778
139.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5079
187.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3894
143.8 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
99% |
4740
6.33 KIPS |
|
|
Text Classification (Q)
|
93% |
4781
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3339
57.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6902
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6955
120.2 IPS |
