iPhone 12
Geekbench AI Score
2337
Single Precision Score
3657
Half Precision Score
3182
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 07 2024 10:34 AM |
| Views | 31 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1158
215.4 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (Q)
|
96% |
1183
220.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
968
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1463
23.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4563
5.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
9931
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8874
10.4 IPS |
|
|
Object Detection (SP)
|
100% |
1169
92.7 IPS |
|
|
Object Detection (HP)
|
97% |
1725
137.4 IPS |
|
|
Object Detection (Q)
|
94% |
1338
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
3454
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
2179
25.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4267
32.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
6906
53.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5144
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12067
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
19890
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17138
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2555
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3851
142.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2997
110.7 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3358
4.48 KIPS |
|
|
Text Classification (Q)
|
93% |
3316
4.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
1564
26.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2785
48.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2718
47.0 IPS |
