iPhone 14 Pro Max
Geekbench AI Score
3511
Single Precision Score
6155
Half Precision Score
5011
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | May 25 2025 11:35 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1429
265.8 IPS |
|
|
Image Classification (HP)
|
100% |
2558
475.7 IPS |
|
|
Image Classification (Q)
|
96% |
1744
325.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1414
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2634
42.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6808
7.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
15361
17.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
13141
15.4 IPS |
|
|
Object Detection (SP)
|
100% |
1576
125.0 IPS |
|
|
Object Detection (HP)
|
97% |
2902
231.0 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3024
35.9 IPS |
|
|
Face Detection (HP)
|
100% |
5980
71.1 IPS |
|
|
Face Detection (Q)
|
100% |
3447
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6034
46.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
11464
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7942
62.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18641
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
29713
38.2 IPS |
|
|
Style Transfer (Q)
|
96% |
24426
31.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4074
150.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5109
188.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3867
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
2688
3.59 KIPS |
|
|
Text Classification (HP)
|
100% |
4767
6.36 KIPS |
|
|
Text Classification (Q)
|
93% |
4751
6.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6564
113.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6563
113.4 IPS |
