iPhone 12
Geekbench AI Score
2553
Single Precision Score
4370
Half Precision Score
3613
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 11 2024 12:25 AM |
| Views | 1 |
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% |
1248
232.2 IPS |
|
|
Image Classification (HP)
|
100% |
1911
355.4 IPS |
|
|
Image Classification (Q)
|
96% |
1370
255.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2150
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4748
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
9307
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8281
9.71 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
97% |
2151
171.2 IPS |
|
|
Object Detection (Q)
|
94% |
1550
123.5 IPS |
|
|
Face Detection (SP)
|
100% |
2427
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4575
54.4 IPS |
|
|
Face Detection (Q)
|
100% |
2555
30.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4471
34.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9043
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6268
49.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11863
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
19955
25.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17113
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2348
86.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3838
141.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2799
103.3 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3577
4.77 KIPS |
|
|
Text Classification (Q)
|
93% |
3560
4.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
3346
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3672
63.4 IPS |
