iPhone 12 Pro Max
Geekbench AI Score
1202
Single Precision Score
1758
Half Precision Score
1515
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 19 2024 01:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
509
94.7 IPS |
|
|
Image Classification (HP)
|
100% |
678
126.0 IPS |
|
|
Image Classification (Q)
|
96% |
517
96.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
533
8.65 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
99% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2430
2.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
5600
6.53 IPS |
|
|
Pose Estimation (Q)
|
95% |
4951
5.80 IPS |
|
|
Object Detection (SP)
|
100% |
546
43.3 IPS |
|
|
Object Detection (HP)
|
97% |
766
61.0 IPS |
|
|
Object Detection (Q)
|
94% |
596
47.5 IPS |
|
|
Face Detection (SP)
|
100% |
1154
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1666
19.8 IPS |
|
|
Face Detection (Q)
|
100% |
1092
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2024
15.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
3238
25.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2390
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6504
8.36 IPS |
|
|
Style Transfer (HP)
|
100% |
10148
13.0 IPS |
|
|
Style Transfer (Q)
|
96% |
8630
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1461
53.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1434
53.0 IPS |
|
|
Text Classification (SP)
|
100% |
1002
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
1462
1.95 KIPS |
|
|
Text Classification (Q)
|
93% |
1451
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1275
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1271
22.0 IPS |
