iPhone 12
Geekbench AI Score
1968
Single Precision Score
2242
Half Precision Score
2118
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 09:30 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 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
414
77.0 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.5 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1668
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1702
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1807
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6195
7.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
8954
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8169
9.58 IPS |
|
|
Object Detection (SP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
642
51.0 IPS |
|
|
Object Detection (Q)
|
92% |
592
47.3 IPS |
|
|
Face Detection (SP)
|
100% |
3322
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3720
44.2 IPS |
|
|
Face Detection (Q)
|
100% |
3169
37.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4121
31.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5537
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5204
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12505
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13696
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13285
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1470
54.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1376
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3892
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3867
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
522
9.00 IPS |
|
|
Machine Translation (HP)
|
100% |
538
9.26 IPS |
|
|
Machine Translation (Q)
|
98% |
533
9.20 IPS |
