iPhone 12
Geekbench AI Score
2680
Single Precision Score
12217
Half Precision Score
12182
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 03:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
4778
888.6 IPS |
|
|
Image Classification (Q)
|
96% |
4872
909.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8271
134.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
7986
129.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5029
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
58830
68.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
59950
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1229
97.5 IPS |
|
|
Object Detection (HP)
|
99% |
5313
422.7 IPS |
|
|
Object Detection (Q)
|
91% |
4645
371.2 IPS |
|
|
Face Detection (SP)
|
100% |
2544
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
11483
136.4 IPS |
|
|
Face Detection (Q)
|
100% |
10838
128.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4795
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
38018
292.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
36044
281.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13032
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
94314
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
92550
119.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2731
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18783
693.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18478
682.3 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2395
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3380
58.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4155
71.8 IPS |
