iPhone 14 Pro Max
Geekbench AI Score
3340
Single Precision Score
6165
Half Precision Score
5041
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 24 2025 08:14 PM |
| Views | 1 |
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% |
1311
243.8 IPS |
|
|
Image Classification (HP)
|
100% |
2561
476.3 IPS |
|
|
Image Classification (Q)
|
96% |
1786
333.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2650
43.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6339
7.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
15058
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12913
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1433
113.7 IPS |
|
|
Object Detection (HP)
|
97% |
2929
233.2 IPS |
|
|
Object Detection (Q)
|
94% |
2089
166.5 IPS |
|
|
Face Detection (SP)
|
100% |
3019
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
6004
71.3 IPS |
|
|
Face Detection (Q)
|
100% |
3457
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
5661
43.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11417
88.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
8112
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18098
23.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28605
36.8 IPS |
|
|
Style Transfer (Q)
|
96% |
23857
30.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3791
140.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5076
187.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3861
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
2747
3.67 KIPS |
|
|
Text Classification (HP)
|
99% |
4827
6.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3374
58.1 IPS |
|
|
Machine Translation (HP)
|
98% |
6913
119.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6850
118.4 IPS |
