iPhone 12 Pro Max
Geekbench AI Score
1959
Single Precision Score
2241
Half Precision Score
2164
Quantized Score
Geekbench AI 1.6.0 Corporate for iOS AArch64
Result Information
| Upload Date | December 02 2025 08:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
415
77.2 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.2 IPS |
|
|
Image Classification (Q)
|
96% |
325
60.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1806
29.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1828
29.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6136
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9357
10.9 IPS |
|
|
Pose Estimation (Q)
|
94% |
8585
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
100% |
695
55.1 IPS |
|
|
Object Detection (Q)
|
92% |
683
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
3438
40.9 IPS |
|
|
Face Detection (HP)
|
100% |
3562
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
3322
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3634
28.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
5678
43.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5264
41.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12885
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13698
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13321
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1555
57.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1490
55.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1479
54.6 IPS |
|
|
Text Classification (SP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3688
4.92 KIPS |
|
|
Text Classification (Q)
|
93% |
3669
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
98% |
513
8.86 IPS |
