iPhone 12
Geekbench AI Score
1326
Single Precision Score
2270
Half Precision Score
1856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 08 2025 08:30 AM |
| 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% |
512
95.2 IPS |
|
|
Image Classification (HP)
|
100% |
837
155.6 IPS |
|
|
Image Classification (Q)
|
96% |
605
113.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
869
14.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1012
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2496
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5951
6.94 IPS |
|
|
Pose Estimation (Q)
|
95% |
5060
5.93 IPS |
|
|
Object Detection (SP)
|
100% |
543
43.1 IPS |
|
|
Object Detection (HP)
|
97% |
965
76.8 IPS |
|
|
Object Detection (Q)
|
94% |
704
56.1 IPS |
|
|
Face Detection (SP)
|
100% |
1353
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
2264
26.9 IPS |
|
|
Face Detection (Q)
|
100% |
1323
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2155
16.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
4141
32.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
2866
22.4 IPS |
|
|
Style Transfer (SP)
|
100% |
6911
8.88 IPS |
|
|
Style Transfer (HP)
|
100% |
10925
14.0 IPS |
|
|
Style Transfer (Q)
|
96% |
9087
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1476
54.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1476
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
1088
1.45 KIPS |
|
|
Text Classification (HP)
|
99% |
1906
2.54 KIPS |
|
|
Text Classification (Q)
|
93% |
1904
2.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2297
39.7 IPS |
|
|
Machine Translation (Q)
|
98% |
2297
39.7 IPS |
