iPhone 12
Geekbench AI Score
1648
Single Precision Score
8794
Half Precision Score
8638
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 01 2025 09:58 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
2883
536.2 IPS |
|
|
Image Classification (Q)
|
96% |
3055
570.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5099
82.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5289
85.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3015
3.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
37148
43.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36827
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
711
56.4 IPS |
|
|
Object Detection (HP)
|
99% |
3611
287.3 IPS |
|
|
Object Detection (Q)
|
91% |
3191
254.9 IPS |
|
|
Face Detection (SP)
|
100% |
1630
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
7136
84.8 IPS |
|
|
Face Detection (Q)
|
100% |
6803
80.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2685
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27839
214.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
23840
186.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8487
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66786
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64280
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13535
499.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13654
504.2 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2089
2.79 KIPS |
|
|
Text Classification (Q)
|
93% |
2135
2.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
1402
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3743
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4011
69.3 IPS |
