iPhone 12 Pro Max
Geekbench AI Score
1965
Single Precision Score
2243
Half Precision Score
2121
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 09:50 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
392
72.9 IPS |
|
|
Image Classification (HP)
|
100% |
367
68.3 IPS |
|
|
Image Classification (Q)
|
96% |
344
64.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1625
26.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6194
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
9445
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
8707
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
645
51.2 IPS |
|
|
Object Detection (HP)
|
100% |
595
47.2 IPS |
|
|
Object Detection (Q)
|
92% |
592
47.2 IPS |
|
|
Face Detection (SP)
|
100% |
3330
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3706
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
3123
37.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3848
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5625
43.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5171
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12825
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13674
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13230
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1797
66.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1453
53.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1537
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
2318
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3881
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3864
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
508
8.75 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.74 IPS |
