iPhone 12
Geekbench AI Score
2705
Single Precision Score
4613
Half Precision Score
3800
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 08 2025 08:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1318
245.2 IPS |
|
|
Image Classification (HP)
|
100% |
2032
377.9 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2128
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5152
6.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
10591
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9401
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1215
96.3 IPS |
|
|
Object Detection (HP)
|
97% |
2164
172.3 IPS |
|
|
Object Detection (Q)
|
94% |
1581
126.0 IPS |
|
|
Face Detection (SP)
|
100% |
2474
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (Q)
|
100% |
2542
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4655
35.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8714
67.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6167
48.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13024
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22041
28.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18446
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4080
150.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3054
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2229
2.98 KIPS |
|
|
Text Classification (HP)
|
99% |
3677
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3667
4.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4217
72.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4215
72.8 IPS |
