iPhone 14 Pro Max
Geekbench AI Score
3401
Single Precision Score
6239
Half Precision Score
5102
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Branko1989 |
| Upload Date | March 21 2026 10:00 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1291
240.1 IPS |
|
|
Image Classification (HP)
|
100% |
2632
489.5 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2666
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6561
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15567
18.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
13240
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1464
116.1 IPS |
|
|
Object Detection (HP)
|
97% |
2934
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2103
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3100
36.8 IPS |
|
|
Face Detection (HP)
|
100% |
6044
71.8 IPS |
|
|
Face Detection (Q)
|
100% |
3493
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5914
45.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11579
89.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8106
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18595
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
29206
37.5 IPS |
|
|
Style Transfer (Q)
|
96% |
24293
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5100
188.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3910
144.4 IPS |
|
|
Text Classification (SP)
|
100% |
2779
3.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4789
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4806
6.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3377
58.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7033
121.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6889
119.1 IPS |
