iPhone 12
Geekbench AI Score
2743
Single Precision Score
4550
Half Precision Score
3787
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 10:50 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1260
234.4 IPS |
|
|
Image Classification (HP)
|
100% |
1917
356.4 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1160
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1776
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2210
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5546
6.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
10812
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9625
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1317
104.5 IPS |
|
|
Object Detection (HP)
|
97% |
2195
174.8 IPS |
|
|
Object Detection (Q)
|
94% |
1588
126.6 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4745
56.4 IPS |
|
|
Face Detection (Q)
|
100% |
2746
32.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4873
37.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9547
73.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6694
52.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13293
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21906
28.2 IPS |
|
|
Style Transfer (Q)
|
96% |
17353
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2829
104.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4049
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3031
111.9 IPS |
|
|
Text Classification (SP)
|
100% |
2115
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3599
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3579
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2272
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3256
56.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3797
65.6 IPS |
