iPhone 12 Pro Max
Geekbench AI Score
2668
Single Precision Score
4724
Half Precision Score
3947
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | RMBaghdadii |
| Upload Date | December 14 2025 09:33 AM |
| Views | 23 |
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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
2019
375.5 IPS |
|
|
Image Classification (Q)
|
96% |
1451
271.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1740
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5100
5.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
10982
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9682
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1219
96.7 IPS |
|
|
Object Detection (HP)
|
97% |
2216
176.4 IPS |
|
|
Object Detection (Q)
|
94% |
1628
129.8 IPS |
|
|
Face Detection (SP)
|
100% |
2529
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4764
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
2736
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4595
35.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9137
70.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6481
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13075
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22482
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19491
25.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2720
100.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3233
119.4 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3857
5.15 KIPS |
|
|
Text Classification (Q)
|
93% |
3848
5.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4243
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4245
73.4 IPS |
