iPhone 14 Pro Max
Geekbench AI Score
3548
Single Precision Score
6264
Half Precision Score
5095
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 03:11 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1388
258.2 IPS |
|
|
Image Classification (HP)
|
100% |
2626
488.3 IPS |
|
|
Image Classification (Q)
|
96% |
1811
338.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2115
34.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2668
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6775
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
15387
18.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
13031
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1567
124.3 IPS |
|
|
Object Detection (HP)
|
97% |
2937
233.8 IPS |
|
|
Object Detection (Q)
|
94% |
2103
167.6 IPS |
|
|
Face Detection (SP)
|
100% |
3196
38.0 IPS |
|
|
Face Detection (HP)
|
100% |
6033
71.7 IPS |
|
|
Face Detection (Q)
|
100% |
3473
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6076
46.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
11591
89.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
8081
63.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18348
23.6 IPS |
|
|
Style Transfer (HP)
|
100% |
29491
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24300
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5298
195.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3922
144.8 IPS |
|
|
Text Classification (SP)
|
100% |
2844
3.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4820
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4769
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
3737
64.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7041
121.7 IPS |
|
|
Machine Translation (Q)
|
98% |
6989
120.8 IPS |
