iPhone 14 Pro Max
Geekbench AI Score
3900
Single Precision Score
4266
Half Precision Score
3763
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 06:05 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1709
317.9 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.6 IPS |
|
|
Image Classification (Q)
|
97% |
1425
265.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2238
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2517
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2464
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11644
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12403
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11344
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
1915
151.9 IPS |
|
|
Object Detection (Q)
|
91% |
1539
123.0 IPS |
|
|
Face Detection (SP)
|
100% |
5330
63.3 IPS |
|
|
Face Detection (HP)
|
100% |
6022
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
4107
48.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8707
67.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7290
57.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21131
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23705
30.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22035
28.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4847
179.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4782
176.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3778
139.5 IPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4606
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
4666
6.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
790
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
799
13.8 IPS |
