iPhone 14 Pro Max
Geekbench AI Score
3540
Single Precision Score
6079
Half Precision Score
4944
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Rohan_C |
| Upload Date | January 12 2025 04:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1422
264.4 IPS |
|
|
Image Classification (HP)
|
100% |
2485
462.1 IPS |
|
|
Image Classification (Q)
|
96% |
1733
323.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1425
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2173
35.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2688
43.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6998
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
15066
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12949
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
97% |
2917
232.2 IPS |
|
|
Object Detection (Q)
|
94% |
2046
163.1 IPS |
|
|
Face Detection (SP)
|
100% |
3068
36.5 IPS |
|
|
Face Detection (HP)
|
100% |
6025
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3479
41.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6140
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
12220
94.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8194
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18851
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28056
36.1 IPS |
|
|
Style Transfer (Q)
|
96% |
23700
30.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4206
155.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4870
179.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3768
139.1 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4804
6.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3528
60.8 IPS |
|
|
Machine Translation (HP)
|
98% |
6012
103.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5909
102.1 IPS |
