iPhone 12 Pro Max
Geekbench AI Score
2814
Single Precision Score
4807
Half Precision Score
4002
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 21 2025 04:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1320
245.6 IPS |
|
|
Image Classification (HP)
|
100% |
2030
377.5 IPS |
|
|
Image Classification (Q)
|
96% |
1462
273.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1170
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5494
6.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
11235
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9898
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1332
105.7 IPS |
|
|
Object Detection (HP)
|
97% |
2269
180.6 IPS |
|
|
Object Detection (Q)
|
94% |
1672
133.3 IPS |
|
|
Face Detection (SP)
|
100% |
2603
30.9 IPS |
|
|
Face Detection (HP)
|
100% |
4776
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2755
32.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4872
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9383
72.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6592
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13678
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23350
30.0 IPS |
|
|
Style Transfer (Q)
|
96% |
20032
25.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2901
107.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4171
154.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3239
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3958
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2370
40.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4265
73.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4247
73.4 IPS |
