iPhone 14 Pro Max
Geekbench AI Score
3351
Single Precision Score
6198
Half Precision Score
5060
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:52 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% |
1302
242.1 IPS |
|
|
Image Classification (HP)
|
100% |
2594
482.4 IPS |
|
|
Image Classification (Q)
|
96% |
1815
338.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1373
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2664
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6097
7.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
14841
17.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
12514
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1445
114.6 IPS |
|
|
Object Detection (HP)
|
97% |
2937
233.8 IPS |
|
|
Object Detection (Q)
|
94% |
2103
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3075
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6017
71.5 IPS |
|
|
Face Detection (Q)
|
100% |
3463
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5878
45.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11600
89.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8117
63.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17453
22.4 IPS |
|
|
Style Transfer (HP)
|
100% |
29007
37.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23918
30.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3833
141.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3892
143.7 IPS |
|
|
Text Classification (SP)
|
100% |
2787
3.72 KIPS |
|
|
Text Classification (HP)
|
99% |
4838
6.46 KIPS |
|
|
Text Classification (Q)
|
93% |
4845
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3372
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6906
119.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6834
118.1 IPS |
