iPhone 12
Geekbench AI Score
2668
Single Precision Score
12386
Half Precision Score
12489
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 08:31 PM |
| Views | 4 |
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% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
4812
894.8 IPS |
|
|
Image Classification (Q)
|
96% |
4995
932.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1151
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8409
136.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
8627
139.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4457
5.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
61513
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
61074
71.6 IPS |
|
|
Object Detection (SP)
|
100% |
1225
97.1 IPS |
|
|
Object Detection (HP)
|
99% |
6068
482.7 IPS |
|
|
Object Detection (Q)
|
91% |
5525
441.5 IPS |
|
|
Face Detection (SP)
|
100% |
2491
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
11622
138.1 IPS |
|
|
Face Detection (Q)
|
100% |
9972
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4640
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36552
281.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35686
278.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13114
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
95011
122.1 IPS |
|
|
Style Transfer (Q)
|
96% |
92326
119.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2821
104.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18285
675.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18593
686.6 IPS |
|
|
Text Classification (SP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2299
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2290
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3382
58.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4521
78.1 IPS |
