iPhone 12 Pro Max
Geekbench AI Score
1992
Single Precision Score
2223
Half Precision Score
2110
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
423
78.6 IPS |
|
|
Image Classification (HP)
|
100% |
376
70.0 IPS |
|
|
Image Classification (Q)
|
96% |
341
63.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1824
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1625
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6135
7.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9736
11.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8859
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
645
51.1 IPS |
|
|
Object Detection (Q)
|
92% |
613
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
3356
39.9 IPS |
|
|
Face Detection (HP)
|
100% |
3561
42.3 IPS |
|
|
Face Detection (Q)
|
100% |
3104
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3790
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5450
42.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5184
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12591
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13643
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13252
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1796
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1445
53.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1404
51.9 IPS |
|
|
Text Classification (SP)
|
100% |
2253
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3825
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
497
8.57 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.71 IPS |
|
|
Machine Translation (Q)
|
98% |
509
8.79 IPS |
