iPhone 14 Pro Max
Geekbench AI Score
3512
Single Precision Score
6071
Half Precision Score
4921
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 17 2024 06:47 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1404
261.1 IPS |
|
|
Image Classification (HP)
|
100% |
2505
465.8 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6781
7.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
14985
17.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12970
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1561
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2049
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
3087
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6060
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3489
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6089
46.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12082
93.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8200
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18771
24.1 IPS |
|
|
Style Transfer (HP)
|
100% |
28234
36.3 IPS |
|
|
Style Transfer (Q)
|
96% |
23625
30.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4150
153.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3710
137.0 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4624
6.17 KIPS |
|
|
Text Classification (Q)
|
93% |
4616
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3467
59.7 IPS |
|
|
Machine Translation (HP)
|
98% |
6086
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5856
101.2 IPS |
