iPhone 12
Geekbench AI Score
1880
Single Precision Score
3271
Half Precision Score
2817
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 30 2025 10:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
541
100.7 IPS |
|
|
Image Classification (HP)
|
100% |
896
166.7 IPS |
|
|
Image Classification (Q)
|
96% |
639
119.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
859
13.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1753
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3748
4.37 IPS |
|
|
Pose Estimation (HP)
|
100% |
7210
8.41 IPS |
|
|
Pose Estimation (Q)
|
95% |
6321
7.41 IPS |
|
|
Object Detection (SP)
|
100% |
827
65.6 IPS |
|
|
Object Detection (HP)
|
97% |
1452
115.6 IPS |
|
|
Object Detection (Q)
|
94% |
1028
81.9 IPS |
|
|
Face Detection (SP)
|
100% |
1772
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
3103
36.9 IPS |
|
|
Face Detection (Q)
|
100% |
1656
19.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2780
21.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
5616
43.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
3739
29.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9830
12.6 IPS |
|
|
Style Transfer (HP)
|
100% |
18830
24.2 IPS |
|
|
Style Transfer (Q)
|
96% |
16870
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2339
86.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3755
138.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2873
106.1 IPS |
|
|
Text Classification (SP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3637
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2137
36.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3809
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3962
68.5 IPS |
