iPhone 12 Pro Max
Geekbench AI Score
1200
Single Precision Score
1741
Half Precision Score
1505
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 06 2024 02:49 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% |
518
96.3 IPS |
|
|
Image Classification (HP)
|
100% |
656
121.9 IPS |
|
|
Image Classification (Q)
|
96% |
504
94.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
539
8.73 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
703
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
5634
6.57 IPS |
|
|
Pose Estimation (Q)
|
95% |
4857
5.69 IPS |
|
|
Object Detection (SP)
|
100% |
538
42.7 IPS |
|
|
Object Detection (HP)
|
97% |
766
61.0 IPS |
|
|
Object Detection (Q)
|
94% |
597
47.6 IPS |
|
|
Face Detection (SP)
|
100% |
1161
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (Q)
|
100% |
1091
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2021
15.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
3139
24.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
2396
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6418
8.25 IPS |
|
|
Style Transfer (HP)
|
100% |
10071
12.9 IPS |
|
|
Style Transfer (Q)
|
96% |
8611
11.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1451
53.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1925
71.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1428
52.7 IPS |
|
|
Text Classification (SP)
|
100% |
988
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1442
1.92 KIPS |
|
|
Text Classification (Q)
|
93% |
1423
1.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1271
22.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1270
22.0 IPS |
