iPhone 14 Pro Max
Geekbench AI Score
3334
Single Precision Score
6176
Half Precision Score
5049
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 23 2025 09:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1312
244.0 IPS |
|
|
Image Classification (HP)
|
100% |
2605
484.5 IPS |
|
|
Image Classification (Q)
|
96% |
1793
334.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1299
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2053
33.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2505
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5714
6.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
14661
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12699
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
1444
114.5 IPS |
|
|
Object Detection (HP)
|
97% |
2919
232.4 IPS |
|
|
Object Detection (Q)
|
94% |
2106
167.9 IPS |
|
|
Face Detection (SP)
|
100% |
3121
37.1 IPS |
|
|
Face Detection (HP)
|
100% |
6048
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5888
45.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
11795
91.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8149
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18178
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28916
37.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23948
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3827
141.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5034
185.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3897
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2786
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4839
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3389
58.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7098
122.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7010
121.1 IPS |
