iPhone 14 Pro Max
Geekbench AI Score
3531
Single Precision Score
6062
Half Precision Score
4929
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | K4ZT13L |
| Upload Date | November 02 2024 03:07 PM |
| Views | 18 |
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% |
1426
265.1 IPS |
|
|
Image Classification (HP)
|
100% |
2529
470.3 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1431
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2150
34.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2671
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7130
8.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
15160
17.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
13052
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1568
124.4 IPS |
|
|
Object Detection (HP)
|
97% |
2921
232.6 IPS |
|
|
Object Detection (Q)
|
94% |
2043
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
2955
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
6063
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
3485
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6207
47.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
12336
95.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8357
65.3 IPS |
|
|
Style Transfer (SP)
|
100% |
19056
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
28330
36.4 IPS |
|
|
Style Transfer (Q)
|
96% |
23714
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4215
155.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4892
180.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3708
136.9 IPS |
|
|
Text Classification (SP)
|
100% |
2607
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4551
6.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
98% |
5855
101.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5889
101.8 IPS |
