iPhone 12
Geekbench AI Score
2620
Single Precision Score
4571
Half Precision Score
3773
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 02 2025 03:19 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1274
236.9 IPS |
|
|
Image Classification (HP)
|
100% |
1932
359.4 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2129
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5111
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
10669
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9433
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1258
99.8 IPS |
|
|
Object Detection (HP)
|
97% |
2167
172.5 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.5 IPS |
|
|
Face Detection (SP)
|
100% |
2542
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4528
53.8 IPS |
|
|
Face Detection (Q)
|
100% |
2631
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4578
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8653
66.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6050
47.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12164
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20996
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18152
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2388
88.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4106
151.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2158
2.88 KIPS |
|
|
Text Classification (HP)
|
100% |
3767
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3731
5.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
2283
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4072
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4082
70.5 IPS |
