iPhone 12 Pro Max
Geekbench AI Score
2742
Single Precision Score
4805
Half Precision Score
4014
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | rollincoal02 |
| Upload Date | November 15 2025 03:31 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1228
228.4 IPS |
|
|
Image Classification (HP)
|
100% |
2035
378.5 IPS |
|
|
Image Classification (Q)
|
96% |
1447
270.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5351
6.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
11621
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10334
12.1 IPS |
|
|
Object Detection (SP)
|
100% |
1242
98.5 IPS |
|
|
Object Detection (HP)
|
97% |
2253
179.4 IPS |
|
|
Object Detection (Q)
|
94% |
1669
133.1 IPS |
|
|
Face Detection (SP)
|
100% |
2577
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4816
57.2 IPS |
|
|
Face Detection (Q)
|
100% |
2779
33.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4932
38.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9403
72.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6764
52.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13965
18.0 IPS |
|
|
Style Transfer (HP)
|
100% |
23478
30.2 IPS |
|
|
Style Transfer (Q)
|
96% |
20113
26.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4089
151.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3236
119.5 IPS |
|
|
Text Classification (SP)
|
100% |
2314
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3870
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3817
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4227
73.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4234
73.2 IPS |
