iPhone 12 Pro Max
Geekbench AI Score
2750
Single Precision Score
4840
Half Precision Score
4028
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 10:16 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1217
226.3 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.2 IPS |
|
|
Image Classification (Q)
|
96% |
1458
272.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2194
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5499
6.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
11883
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
10626
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (HP)
|
97% |
2250
179.1 IPS |
|
|
Object Detection (Q)
|
94% |
1667
132.8 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2763
32.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4882
37.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9375
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6735
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14148
18.2 IPS |
|
|
Style Transfer (HP)
|
100% |
23983
30.8 IPS |
|
|
Style Transfer (Q)
|
96% |
20095
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2905
107.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4098
151.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3221
118.9 IPS |
|
|
Text Classification (SP)
|
100% |
2259
3.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3904
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4232
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4230
73.1 IPS |
