iPhone 12 Pro Max
Geekbench AI Score
1948
Single Precision Score
2232
Half Precision Score
2120
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CircuitSphere |
| Upload Date | November 07 2025 03:00 AM |
| Views | 3 |
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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
366
68.0 IPS |
|
|
Image Classification (Q)
|
96% |
330
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1799
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1772
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6037
7.04 IPS |
|
|
Pose Estimation (HP)
|
100% |
9455
11.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
8626
10.1 IPS |
|
|
Object Detection (SP)
|
100% |
643
51.0 IPS |
|
|
Object Detection (HP)
|
100% |
591
46.9 IPS |
|
|
Object Detection (Q)
|
92% |
637
50.8 IPS |
|
|
Face Detection (SP)
|
100% |
3342
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3705
44.0 IPS |
|
|
Face Detection (Q)
|
100% |
3159
37.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3681
28.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5712
44.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5130
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12679
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13718
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13317
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1752
64.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1337
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
2316
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3806
5.08 KIPS |
|
|
Text Classification (Q)
|
93% |
3795
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.07 IPS |
|
|
Machine Translation (Q)
|
98% |
523
9.04 IPS |
