iPhone 12
Geekbench AI Score
1336
Single Precision Score
7762
Half Precision Score
7739
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 07:25 AM |
| Views | 1 |
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% |
547
101.8 IPS |
|
|
Image Classification (HP)
|
100% |
2689
500.1 IPS |
|
|
Image Classification (Q)
|
96% |
2766
516.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4345
70.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
4672
75.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2501
2.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
33146
38.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32697
38.3 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
99% |
3271
260.2 IPS |
|
|
Object Detection (Q)
|
91% |
2946
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
6246
74.2 IPS |
|
|
Face Detection (Q)
|
100% |
6050
71.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2132
16.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22239
171.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
22076
172.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6914
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
59760
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58333
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1486
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11910
439.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12190
450.1 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1944
2.59 KIPS |
|
|
Text Classification (Q)
|
93% |
1892
2.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
1210
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3261
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3448
59.6 IPS |
