iPhone 12 Pro Max
Geekbench AI Score
1925
Single Precision Score
2222
Half Precision Score
2102
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | PGSCOM |
| Upload Date | January 20 2026 12:09 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 5.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
380
70.6 IPS |
|
|
Image Classification (HP)
|
100% |
356
66.2 IPS |
|
|
Image Classification (Q)
|
96% |
327
61.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1736
28.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1629
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6170
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
9489
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
8767
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
92% |
590
47.1 IPS |
|
|
Face Detection (SP)
|
100% |
3358
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
3140
37.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3274
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5489
42.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5205
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12520
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13661
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13205
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1681
62.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1491
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1440
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
2282
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3880
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3804
5.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
496
8.54 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.05 IPS |
|
|
Machine Translation (Q)
|
98% |
518
8.96 IPS |
