iPhone 12 Pro Max
Geekbench AI Score
1387
Single Precision Score
2196
Half Precision Score
1811
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 26 2024 12:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
561
104.3 IPS |
|
|
Image Classification (HP)
|
100% |
855
159.1 IPS |
|
|
Image Classification (Q)
|
96% |
619
115.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1044
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2709
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
5805
6.77 IPS |
|
|
Pose Estimation (Q)
|
95% |
5031
5.90 IPS |
|
|
Object Detection (SP)
|
100% |
593
47.0 IPS |
|
|
Object Detection (HP)
|
97% |
973
77.4 IPS |
|
|
Object Detection (Q)
|
94% |
712
56.8 IPS |
|
|
Face Detection (SP)
|
100% |
1443
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
2316
27.5 IPS |
|
|
Face Detection (Q)
|
100% |
1285
15.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2285
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4354
33.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3051
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6857
8.81 IPS |
|
|
Style Transfer (HP)
|
100% |
10782
13.9 IPS |
|
|
Style Transfer (Q)
|
96% |
8968
11.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1901
70.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1401
51.7 IPS |
|
|
Text Classification (SP)
|
100% |
1045
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1777
2.37 KIPS |
|
|
Text Classification (Q)
|
93% |
1772
2.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1135
19.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1627
28.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1879
32.5 IPS |
