iPhone 12
Geekbench AI Score
1598
Single Precision Score
8710
Half Precision Score
8706
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 05:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
2900
539.4 IPS |
|
|
Image Classification (Q)
|
96% |
3054
570.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
708
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5035
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5539
89.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2955
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
37420
43.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
37236
43.6 IPS |
|
|
Object Detection (SP)
|
100% |
694
55.0 IPS |
|
|
Object Detection (HP)
|
99% |
3671
292.0 IPS |
|
|
Object Detection (Q)
|
91% |
3263
260.8 IPS |
|
|
Face Detection (SP)
|
100% |
1601
19.0 IPS |
|
|
Face Detection (HP)
|
100% |
7164
85.1 IPS |
|
|
Face Detection (Q)
|
100% |
6770
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2644
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24736
190.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
24007
187.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8546
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66793
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64598
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1650
60.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13523
499.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13789
509.2 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2092
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2109
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3987
68.9 IPS |
