iPhone 14 Pro Max
Geekbench AI Score
3329
Single Precision Score
6172
Half Precision Score
5028
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:45 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% |
1334
248.1 IPS |
|
|
Image Classification (HP)
|
100% |
2629
489.0 IPS |
|
|
Image Classification (Q)
|
96% |
1808
337.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6195
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
14652
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12499
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1421
112.7 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.6 IPS |
|
|
Object Detection (Q)
|
94% |
2096
167.0 IPS |
|
|
Face Detection (SP)
|
100% |
3014
35.8 IPS |
|
|
Face Detection (HP)
|
100% |
5994
71.2 IPS |
|
|
Face Detection (Q)
|
100% |
3443
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5710
44.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
11487
88.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7960
62.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17536
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28582
36.7 IPS |
|
|
Style Transfer (Q)
|
96% |
23519
30.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3736
137.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5094
188.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3871
142.9 IPS |
|
|
Text Classification (SP)
|
100% |
2760
3.68 KIPS |
|
|
Text Classification (HP)
|
99% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4811
6.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
3345
57.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6888
119.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6817
117.8 IPS |
