iPhone 14 Pro Max
Geekbench AI Score
3815
Single Precision Score
4220
Half Precision Score
3670
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | October 17 2024 11:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1538
286.1 IPS |
|
|
Image Classification (HP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (Q)
|
97% |
1372
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2275
36.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2549
41.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2518
40.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
11583
13.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12326
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11263
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1884
149.4 IPS |
|
|
Object Detection (HP)
|
100% |
1919
152.2 IPS |
|
|
Object Detection (Q)
|
91% |
1504
120.2 IPS |
|
|
Face Detection (SP)
|
100% |
5360
63.7 IPS |
|
|
Face Detection (HP)
|
100% |
6210
73.8 IPS |
|
|
Face Detection (Q)
|
100% |
4115
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8360
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
8977
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
7102
55.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20827
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
23194
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
21895
28.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4462
164.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4500
166.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3612
133.4 IPS |
|
|
Text Classification (SP)
|
100% |
2558
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4425
5.91 KIPS |
|
|
Text Classification (Q)
|
93% |
4521
6.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (Q)
|
98% |
726
12.6 IPS |
