iPhone 14 Pro Max
Geekbench AI Score
3830
Single Precision Score
4249
Half Precision Score
3700
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | September 09 2024 11:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1487
276.6 IPS |
|
|
Image Classification (HP)
|
100% |
1530
284.5 IPS |
|
|
Image Classification (Q)
|
97% |
1351
252.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2237
36.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2522
40.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2515
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11640
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
12269
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11291
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1906
151.1 IPS |
|
|
Object Detection (HP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (Q)
|
91% |
1452
116.0 IPS |
|
|
Face Detection (SP)
|
100% |
5395
64.1 IPS |
|
|
Face Detection (HP)
|
100% |
6053
71.9 IPS |
|
|
Face Detection (Q)
|
100% |
4018
47.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8431
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
8802
67.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6989
54.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20918
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
23260
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
21876
28.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4579
169.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3898
143.9 IPS |
|
|
Text Classification (SP)
|
100% |
2608
3.48 KIPS |
|
|
Text Classification (HP)
|
100% |
4678
6.24 KIPS |
|
|
Text Classification (Q)
|
93% |
4684
6.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
810
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
98% |
771
13.3 IPS |
