iPhone 12 Pro Max
Geekbench AI Score
2751
Single Precision Score
12583
Half Precision Score
12482
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | PGSCOM |
| Upload Date | January 20 2026 12:54 PM |
| Views | 4 |
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% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
4757
884.6 IPS |
|
|
Image Classification (Q)
|
96% |
4885
912.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7993
129.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
8433
136.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5416
6.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
61977
72.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
62011
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
1238
98.2 IPS |
|
|
Object Detection (HP)
|
99% |
6025
479.3 IPS |
|
|
Object Detection (Q)
|
91% |
4915
392.7 IPS |
|
|
Face Detection (SP)
|
100% |
2567
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
11805
140.3 IPS |
|
|
Face Detection (Q)
|
100% |
10421
123.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4907
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37435
288.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
33495
261.7 IPS |
|
|
Style Transfer (SP)
|
100% |
14341
18.4 IPS |
|
|
Style Transfer (HP)
|
100% |
108719
139.8 IPS |
|
|
Style Transfer (Q)
|
96% |
96727
124.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2908
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20033
739.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20294
749.4 IPS |
|
|
Text Classification (SP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2351
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2394
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3099
53.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4460
77.1 IPS |
