iPhone 12
Geekbench AI Score
1327
Single Precision Score
7762
Half Precision Score
7740
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:39 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
514
95.5 IPS |
|
|
Image Classification (HP)
|
100% |
2685
499.3 IPS |
|
|
Image Classification (Q)
|
96% |
2765
516.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
622
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
4395
71.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4688
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2492
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
33165
38.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
32739
38.4 IPS |
|
|
Object Detection (SP)
|
100% |
542
43.0 IPS |
|
|
Object Detection (HP)
|
99% |
3268
260.0 IPS |
|
|
Object Detection (Q)
|
91% |
2945
235.4 IPS |
|
|
Face Detection (SP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
6234
74.1 IPS |
|
|
Face Detection (Q)
|
100% |
6034
71.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2138
16.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
22293
171.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
22082
172.6 IPS |
|
|
Style Transfer (SP)
|
100% |
6921
8.90 IPS |
|
|
Style Transfer (HP)
|
100% |
59777
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58372
75.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11947
441.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12124
447.7 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1919
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
1905
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
1209
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3262
56.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3439
59.4 IPS |
