iPhone 12
Geekbench AI Score
2628
Single Precision Score
4366
Half Precision Score
3659
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 07:54 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.2 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1156
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2090
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4713
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
9905
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8822
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
1251
99.2 IPS |
|
|
Object Detection (HP)
|
97% |
2129
169.5 IPS |
|
|
Object Detection (Q)
|
94% |
1537
122.5 IPS |
|
|
Face Detection (SP)
|
100% |
2500
29.7 IPS |
|
|
Face Detection (HP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
2557
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4587
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9151
70.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6304
49.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12720
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
20735
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17731
22.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2706
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3799
140.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2925
108.0 IPS |
|
|
Text Classification (SP)
|
100% |
2072
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (Q)
|
93% |
3549
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2244
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3251
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3730
64.5 IPS |
