iPhone 14 Pro Max
Geekbench AI Score
3503
Single Precision Score
6055
Half Precision Score
4931
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 18 2024 12:12 PM |
| Views | 4 |
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% |
1418
263.8 IPS |
|
|
Image Classification (HP)
|
100% |
2540
472.4 IPS |
|
|
Image Classification (Q)
|
96% |
1745
325.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2700
43.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6738
7.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
15104
17.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
12916
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.8 IPS |
|
|
Object Detection (HP)
|
97% |
2914
232.0 IPS |
|
|
Object Detection (Q)
|
94% |
2054
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
3059
36.3 IPS |
|
|
Face Detection (HP)
|
100% |
6086
72.3 IPS |
|
|
Face Detection (Q)
|
100% |
3512
41.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6105
47.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12249
94.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
8278
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
18629
23.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28144
36.2 IPS |
|
|
Style Transfer (Q)
|
96% |
23798
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4210
155.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4876
180.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3702
136.7 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4593
6.13 KIPS |
|
|
Text Classification (Q)
|
93% |
4547
6.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3453
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5847
101.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5843
101.0 IPS |
