iPhone 12
Geekbench AI Score
1380
Single Precision Score
2249
Half Precision Score
1841
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 16 2025 04:22 PM |
| Views | 3 |
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% |
563
104.7 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
96% |
607
113.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
879
14.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1020
16.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2703
3.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
5968
6.96 IPS |
|
|
Pose Estimation (Q)
|
95% |
5124
6.01 IPS |
|
|
Object Detection (SP)
|
100% |
584
46.3 IPS |
|
|
Object Detection (HP)
|
97% |
950
75.6 IPS |
|
|
Object Detection (Q)
|
94% |
701
55.9 IPS |
|
|
Face Detection (SP)
|
100% |
1374
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
2248
26.7 IPS |
|
|
Face Detection (Q)
|
100% |
1325
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2215
17.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
4081
31.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
2880
22.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7135
9.17 IPS |
|
|
Style Transfer (HP)
|
100% |
11515
14.8 IPS |
|
|
Style Transfer (Q)
|
96% |
9307
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1586
58.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1955
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1475
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
1033
1.38 KIPS |
|
|
Text Classification (HP)
|
100% |
1766
2.36 KIPS |
|
|
Text Classification (Q)
|
93% |
1766
2.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1221
21.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2184
37.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2178
37.6 IPS |
