iPhone 12
Geekbench AI Score
2362
Single Precision Score
3657
Half Precision Score
3204
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 23 2025 01:51 AM |
| Views | 1 |
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% |
1174
218.3 IPS |
|
|
Image Classification (HP)
|
100% |
1473
273.9 IPS |
|
|
Image Classification (Q)
|
96% |
1195
223.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
990
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1000
16.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1499
24.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4637
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8826
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
97% |
1730
137.7 IPS |
|
|
Object Detection (Q)
|
94% |
1337
106.6 IPS |
|
|
Face Detection (SP)
|
100% |
1905
22.6 IPS |
|
|
Face Detection (HP)
|
100% |
3489
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
2203
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4249
32.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
6945
53.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5212
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11967
15.4 IPS |
|
|
Style Transfer (HP)
|
100% |
19890
25.6 IPS |
|
|
Style Transfer (Q)
|
96% |
17289
22.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2556
94.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3870
142.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3042
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2084
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3328
4.44 KIPS |
|
|
Text Classification (Q)
|
93% |
3299
4.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1647
28.4 IPS |
|
|
Machine Translation (HP)
|
98% |
2750
47.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2711
46.8 IPS |
