iPhone 12
Geekbench AI Score
2760
Single Precision Score
4677
Half Precision Score
3884
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 13 2025 02:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.7 IPS |
|
|
Image Classification (Q)
|
96% |
1374
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2169
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5690
6.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
11432
13.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
10095
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1292
102.5 IPS |
|
|
Object Detection (HP)
|
97% |
2179
173.5 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2573
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
2712
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4856
37.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
9155
70.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6459
50.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13590
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
23294
29.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19804
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2870
106.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4101
151.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3149
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
2124
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3607
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2313
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4103
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4126
71.3 IPS |
