iPhone 12
Geekbench AI Score
1574
Single Precision Score
8628
Half Precision Score
8498
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 08:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
650
120.8 IPS |
|
|
Image Classification (HP)
|
100% |
2821
524.6 IPS |
|
|
Image Classification (Q)
|
96% |
2988
557.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
4996
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5008
81.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2927
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
37184
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36906
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
670
53.1 IPS |
|
|
Object Detection (HP)
|
99% |
3610
287.2 IPS |
|
|
Object Detection (Q)
|
91% |
3172
253.5 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
7094
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
6724
79.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2620
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24547
189.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
23649
184.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8496
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66611
85.6 IPS |
|
|
Style Transfer (Q)
|
96% |
64124
82.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13463
497.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13570
501.1 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2046
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
1412
24.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3717
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3965
68.5 IPS |
