iPhone 12
Geekbench AI Score
1645
Single Precision Score
2889
Half Precision Score
2380
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| Upload Date | February 13 2026 02:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
677
125.9 IPS |
|
|
Image Classification (HP)
|
100% |
1105
205.4 IPS |
|
|
Image Classification (Q)
|
96% |
791
147.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
717
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3195
3.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
7474
8.72 IPS |
|
|
Pose Estimation (Q)
|
95% |
6412
7.52 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
97% |
1221
97.2 IPS |
|
|
Object Detection (Q)
|
94% |
936
74.6 IPS |
|
|
Face Detection (SP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
2983
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1702
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2690
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5261
40.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
3793
29.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8646
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13496
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
11558
14.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2502
92.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1905
70.4 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2345
3.13 KIPS |
|
|
Text Classification (Q)
|
93% |
2336
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1353
23.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2889
49.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2869
49.6 IPS |
