iPhone 12
Geekbench AI Score
2611
Single Precision Score
4665
Half Precision Score
3848
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 15 2025 04:59 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1226
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
2039
379.3 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1757
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2190
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4929
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
10495
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9218
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1152
91.4 IPS |
|
|
Object Detection (HP)
|
97% |
2226
177.2 IPS |
|
|
Object Detection (Q)
|
94% |
1606
128.0 IPS |
|
|
Face Detection (SP)
|
100% |
2478
29.4 IPS |
|
|
Face Detection (HP)
|
100% |
4571
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2611
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4447
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9039
69.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6326
49.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12619
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20895
26.9 IPS |
|
|
Style Transfer (Q)
|
96% |
18173
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2618
96.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4041
149.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3082
113.8 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3955
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3899
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4235
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4190
72.4 IPS |
