iPhone 12
Geekbench AI Score
1693
Single Precision Score
1996
Half Precision Score
1836
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 06 2026 08:10 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
348
64.7 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1394
22.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1704
27.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1680
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4163
4.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6975
8.14 IPS |
|
|
Pose Estimation (Q)
|
94% |
5642
6.62 IPS |
|
|
Object Detection (SP)
|
100% |
647
51.4 IPS |
|
|
Object Detection (HP)
|
100% |
680
53.9 IPS |
|
|
Object Detection (Q)
|
92% |
602
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (HP)
|
100% |
3393
40.3 IPS |
|
|
Face Detection (Q)
|
100% |
2546
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4149
32.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
4628
35.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4119
32.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11192
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13745
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13344
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1670
61.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1460
53.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1501
55.4 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2358
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.64 IPS |
