iPhone 14 Pro Max
Geekbench AI Score
3096
Single Precision Score
3241
Half Precision Score
2824
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | toygoon |
| Upload Date | August 31 2024 03:26 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.0 |
| 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 | 5.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1386
257.7 IPS |
|
|
Image Classification (HP)
|
100% |
1452
270.0 IPS |
|
|
Image Classification (Q)
|
99% |
1543
287.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2166
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2431
39.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
2402
38.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11745
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12123
14.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
10855
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1899
150.6 IPS |
|
|
Object Detection (HP)
|
100% |
1832
145.3 IPS |
|
|
Object Detection (Q)
|
91% |
1391
111.1 IPS |
|
|
Face Detection (SP)
|
100% |
5176
61.5 IPS |
|
|
Face Detection (HP)
|
100% |
5666
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3420
40.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7780
59.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
8283
64.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
8368
64.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19659
25.3 IPS |
|
|
Style Transfer (HP)
|
100% |
22074
28.4 IPS |
|
|
Style Transfer (Q)
|
100% |
22231
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4357
160.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4431
163.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3361
124.5 IPS |
|
|
Text Classification (SP)
|
100% |
401
535.7 IPS |
|
|
Text Classification (HP)
|
100% |
398
530.8 IPS |
|
|
Text Classification (Q)
|
93% |
230
308.9 IPS |
|
|
Machine Translation (SP)
|
100% |
875
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
893
15.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1173
20.3 IPS |
