[iOS 18.0 beta 6] iPhone 14 Pro Max iPhone 14 Pro Max
Geekbench AI Score
3536
Single Precision Score
6083
Half Precision Score
5308
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | nuonuo |
| Upload Date | August 15 2024 10:18 PM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1392
258.8 IPS |
|
|
Image Classification (HP)
|
100% |
2538
471.9 IPS |
|
|
Image Classification (Q)
|
99% |
2523
470.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1450
23.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (Q)
|
100% |
2157
35.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
7058
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
15202
17.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
13005
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
1573
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2927
233.0 IPS |
|
|
Object Detection (Q)
|
94% |
2067
164.8 IPS |
|
|
Face Detection (SP)
|
100% |
3035
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
6024
71.6 IPS |
|
|
Face Detection (Q)
|
100% |
3504
41.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6229
48.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12232
94.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
12186
94.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18918
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
28308
36.4 IPS |
|
|
Style Transfer (Q)
|
100% |
28396
36.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4200
155.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5017
185.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3717
137.7 IPS |
|
|
Text Classification (SP)
|
100% |
2617
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4597
6.14 KIPS |
|
|
Text Classification (Q)
|
93% |
4616
6.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3472
59.8 IPS |
|
|
Machine Translation (HP)
|
98% |
5904
102.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5838
100.9 IPS |
