iPhone 12 Pro Max
Geekbench AI Score
2776
Single Precision Score
12681
Half Precision Score
12409
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 08:46 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1229
228.6 IPS |
|
|
Image Classification (HP)
|
100% |
4953
921.1 IPS |
|
|
Image Classification (Q)
|
96% |
5018
937.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1114
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7900
128.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8454
137.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5476
6.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
61051
71.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60335
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
1237
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
5591
444.8 IPS |
|
|
Object Detection (Q)
|
91% |
4959
396.3 IPS |
|
|
Face Detection (SP)
|
100% |
2562
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
11829
140.6 IPS |
|
|
Face Detection (Q)
|
100% |
10059
119.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4894
37.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
37731
290.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
35692
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
14558
18.7 IPS |
|
|
Style Transfer (HP)
|
100% |
101289
130.2 IPS |
|
|
Style Transfer (Q)
|
96% |
97970
126.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3103
114.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20536
758.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19814
731.6 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2269
3.03 KIPS |
|
|
Text Classification (Q)
|
93% |
2369
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2242
38.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3823
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4134
71.4 IPS |
