iPhone 14 Pro Max
Geekbench AI Score
3406
Single Precision Score
6264
Half Precision Score
5106
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | Branko1989 |
| Upload Date | March 21 2026 09:22 AM |
| Views | 6 |
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% |
1304
242.4 IPS |
|
|
Image Classification (HP)
|
100% |
2617
486.6 IPS |
|
|
Image Classification (Q)
|
96% |
1798
335.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1360
22.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6483
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
15421
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13253
15.5 IPS |
|
|
Object Detection (SP)
|
100% |
1458
115.6 IPS |
|
|
Object Detection (HP)
|
97% |
2955
235.3 IPS |
|
|
Object Detection (Q)
|
94% |
2126
169.5 IPS |
|
|
Face Detection (SP)
|
100% |
3148
37.4 IPS |
|
|
Face Detection (HP)
|
100% |
6091
72.4 IPS |
|
|
Face Detection (Q)
|
100% |
3508
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5910
45.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11612
89.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
8135
63.6 IPS |
|
|
Style Transfer (SP)
|
100% |
18465
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
29120
37.4 IPS |
|
|
Style Transfer (Q)
|
96% |
24206
31.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3837
141.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5366
198.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3904
144.2 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
99% |
4788
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4787
6.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
3396
58.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6988
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6903
119.3 IPS |
