iPhone 14 Pro Max
Geekbench AI Score
3486
Single Precision Score
6016
Half Precision Score
4873
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 21 2024 12:31 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1415
263.1 IPS |
|
|
Image Classification (HP)
|
100% |
2494
463.9 IPS |
|
|
Image Classification (Q)
|
96% |
1732
323.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2676
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6643
7.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
14709
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12485
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1554
123.3 IPS |
|
|
Object Detection (HP)
|
97% |
2910
231.7 IPS |
|
|
Object Detection (Q)
|
94% |
2042
162.8 IPS |
|
|
Face Detection (SP)
|
100% |
3088
36.7 IPS |
|
|
Face Detection (HP)
|
100% |
6027
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3459
41.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6068
46.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
12024
93.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
8148
63.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18486
23.8 IPS |
|
|
Style Transfer (HP)
|
100% |
28098
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23510
30.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4829
178.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3649
134.7 IPS |
|
|
Text Classification (SP)
|
100% |
2604
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4694
6.27 KIPS |
|
|
Text Classification (Q)
|
93% |
4556
6.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3486
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5848
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5809
100.4 IPS |
