iPhone 12
Geekbench AI Score
1630
Single Precision Score
2872
Half Precision Score
2376
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 05:26 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
652
121.3 IPS |
|
|
Image Classification (HP)
|
100% |
1041
193.6 IPS |
|
|
Image Classification (Q)
|
96% |
777
145.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
692
11.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1291
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3230
3.77 IPS |
|
|
Pose Estimation (HP)
|
100% |
7594
8.86 IPS |
|
|
Pose Estimation (Q)
|
95% |
6564
7.69 IPS |
|
|
Object Detection (SP)
|
100% |
709
56.3 IPS |
|
|
Object Detection (HP)
|
97% |
1220
97.1 IPS |
|
|
Object Detection (Q)
|
94% |
921
73.4 IPS |
|
|
Face Detection (SP)
|
100% |
1617
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
100% |
1703
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2646
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5175
40.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
3815
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8576
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13600
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11384
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2464
91.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1915
70.7 IPS |
|
|
Text Classification (SP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2372
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2343
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
1335
23.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2860
49.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2859
49.4 IPS |
