iPhone 12 Pro Max
Geekbench AI Score
2012
Single Precision Score
2223
Half Precision Score
2106
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | rydawg |
| Upload Date | June 11 2025 09:45 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
388
72.2 IPS |
|
|
Image Classification (Q)
|
96% |
323
60.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1790
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1719
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6077
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
7909
9.23 IPS |
|
|
Pose Estimation (Q)
|
94% |
7277
8.53 IPS |
|
|
Object Detection (SP)
|
100% |
726
57.6 IPS |
|
|
Object Detection (HP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (Q)
|
92% |
639
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
3462
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
3206
38.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4147
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5716
44.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5176
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12433
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13243
17.0 IPS |
|
|
Style Transfer (Q)
|
96% |
13497
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1806
66.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1522
56.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1558
57.5 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3718
4.96 KIPS |
|
|
Text Classification (Q)
|
93% |
3705
4.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
494
8.51 IPS |
|
|
Machine Translation (HP)
|
100% |
522
8.99 IPS |
|
|
Machine Translation (Q)
|
98% |
516
8.92 IPS |
