iPhone 12 Pro Max
Geekbench AI Score
2745
Single Precision Score
4584
Half Precision Score
4037
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | chimpur |
| Upload Date | August 15 2024 05:14 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro Max |
| Model ID | iPhone13,4 |
| Motherboard | D54pAP |
| CPU Information | |
|---|---|
| Name | Apple A14 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
1910
355.1 IPS |
|
|
Image Classification (Q)
|
99% |
1902
354.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1773
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5512
6.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
11008
12.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
9811
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1313
104.1 IPS |
|
|
Object Detection (HP)
|
97% |
2201
175.2 IPS |
|
|
Object Detection (Q)
|
94% |
1605
127.9 IPS |
|
|
Face Detection (SP)
|
100% |
2566
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
4730
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2740
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4886
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9686
74.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
9656
74.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13646
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
22385
28.8 IPS |
|
|
Style Transfer (Q)
|
100% |
22229
28.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2909
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4022
148.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3031
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
93% |
3633
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3359
58.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3344
57.8 IPS |
