iPhone 12
Geekbench AI Score
2501
Single Precision Score
12964
Half Precision Score
12702
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 20 2025 11:12 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1167
217.0 IPS |
|
|
Image Classification (HP)
|
100% |
4774
887.8 IPS |
|
|
Image Classification (Q)
|
96% |
5116
955.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8259
133.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8540
138.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4401
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
64019
74.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
61187
71.7 IPS |
|
|
Object Detection (SP)
|
100% |
1155
91.6 IPS |
|
|
Object Detection (HP)
|
99% |
5993
476.8 IPS |
|
|
Object Detection (Q)
|
91% |
5656
451.9 IPS |
|
|
Face Detection (SP)
|
100% |
2303
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
12493
148.4 IPS |
|
|
Face Detection (Q)
|
100% |
11099
131.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4220
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39141
301.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
39743
310.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11476
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
107209
137.8 IPS |
|
|
Style Transfer (Q)
|
96% |
95651
123.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2485
91.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19172
707.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18131
669.5 IPS |
|
|
Text Classification (SP)
|
100% |
2288
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2344
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3738
64.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4206
72.7 IPS |
