iPhone 14 Pro Max
Geekbench AI Score
3453
Single Precision Score
6015
Half Precision Score
4870
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 30 2024 10:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2551
474.5 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1423
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2673
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6486
7.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
14415
16.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
12392
14.5 IPS |
|
|
Object Detection (SP)
|
100% |
1534
121.6 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2040
162.6 IPS |
|
|
Face Detection (SP)
|
100% |
2984
35.5 IPS |
|
|
Face Detection (HP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3425
40.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5979
46.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12060
93.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
8104
63.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18226
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28150
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23286
30.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3640
134.4 IPS |
|
|
Text Classification (SP)
|
100% |
2629
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4710
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4682
6.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
|
Machine Translation (HP)
|
98% |
5761
99.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5829
100.7 IPS |
