iPhone 12
Geekbench AI Score
2753
Single Precision Score
4589
Half Precision Score
3836
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 10:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.5 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1788
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2216
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5531
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
10918
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9699
11.4 IPS |
|
|
Object Detection (SP)
|
100% |
1320
104.7 IPS |
|
|
Object Detection (HP)
|
97% |
2212
176.1 IPS |
|
|
Object Detection (Q)
|
94% |
1595
127.1 IPS |
|
|
Face Detection (SP)
|
100% |
2585
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
4751
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2737
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4905
37.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9688
74.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6709
52.4 IPS |
|
|
Style Transfer (SP)
|
100% |
13358
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22319
28.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19068
24.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2909
107.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4009
148.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3070
113.4 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3614
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3596
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2273
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3354
57.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3806
65.8 IPS |
