iPhone 14 Pro Max
Geekbench AI Score
3550
Single Precision Score
6078
Half Precision Score
4913
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:21 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1410
262.2 IPS |
|
|
Image Classification (HP)
|
100% |
2510
466.7 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1426
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2159
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2674
43.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7058
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15369
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13022
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
97% |
2918
232.3 IPS |
|
|
Object Detection (Q)
|
94% |
2045
163.0 IPS |
|
|
Face Detection (SP)
|
100% |
3079
36.6 IPS |
|
|
Face Detection (HP)
|
100% |
6011
71.4 IPS |
|
|
Face Detection (Q)
|
100% |
3477
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6246
48.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12210
94.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
8236
64.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18938
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28443
36.6 IPS |
|
|
Style Transfer (Q)
|
96% |
23766
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4229
156.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5023
185.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3685
136.1 IPS |
|
|
Text Classification (SP)
|
100% |
2658
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
4602
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4531
6.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
3481
60.0 IPS |
|
|
Machine Translation (HP)
|
98% |
5875
101.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5858
101.2 IPS |
