iPhone 14 Pro Max
Geekbench AI Score
3462
Single Precision Score
6125
Half Precision Score
4983
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 24 2025 11:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1357
252.4 IPS |
|
|
Image Classification (HP)
|
100% |
2537
471.8 IPS |
|
|
Image Classification (Q)
|
96% |
1738
324.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1402
22.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2627
42.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6567
7.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
15061
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12971
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1563
124.0 IPS |
|
|
Object Detection (HP)
|
97% |
2896
230.6 IPS |
|
|
Object Detection (Q)
|
94% |
2052
163.6 IPS |
|
|
Face Detection (SP)
|
100% |
3067
36.4 IPS |
|
|
Face Detection (HP)
|
100% |
5969
70.9 IPS |
|
|
Face Detection (Q)
|
100% |
3451
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6014
46.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11466
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7902
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18298
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
29495
37.9 IPS |
|
|
Style Transfer (Q)
|
96% |
24326
31.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4088
151.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5144
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3889
143.6 IPS |
|
|
Text Classification (SP)
|
100% |
2623
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4658
6.22 KIPS |
|
|
Text Classification (Q)
|
93% |
4635
6.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3502
60.3 IPS |
|
|
Machine Translation (HP)
|
98% |
6611
114.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6501
112.3 IPS |
