iPhone 12
Geekbench AI Score
2522
Single Precision Score
4417
Half Precision Score
3633
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 04 2025 11:43 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1298
241.3 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1440
268.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1699
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2060
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4590
5.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
9473
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8455
9.91 IPS |
|
|
Object Detection (SP)
|
100% |
1208
95.8 IPS |
|
|
Object Detection (HP)
|
97% |
2133
169.8 IPS |
|
|
Object Detection (Q)
|
94% |
1536
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
2356
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4417
52.5 IPS |
|
|
Face Detection (Q)
|
100% |
2483
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4275
32.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
8020
62.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5827
45.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11029
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19231
24.7 IPS |
|
|
Style Transfer (Q)
|
96% |
16795
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2355
87.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3821
141.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2816
104.0 IPS |
|
|
Text Classification (SP)
|
100% |
2280
3.04 KIPS |
|
|
Text Classification (HP)
|
99% |
3801
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3791
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4115
71.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4011
69.3 IPS |
