iPhone 12
Geekbench AI Score
1605
Single Precision Score
8673
Half Precision Score
8633
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 23 2025 11:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2886
536.8 IPS |
|
|
Image Classification (Q)
|
96% |
3030
565.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
735
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5019
81.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
5262
85.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3026
3.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
37209
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36904
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
685
54.3 IPS |
|
|
Object Detection (HP)
|
99% |
3630
288.8 IPS |
|
|
Object Detection (Q)
|
91% |
3237
258.7 IPS |
|
|
Face Detection (SP)
|
100% |
1623
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
7145
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
6774
80.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24523
188.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
23758
185.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8575
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66730
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64340
83.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13545
500.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13693
505.6 IPS |
|
|
Text Classification (SP)
|
100% |
1354
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (Q)
|
93% |
2128
2.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
1388
23.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4002
69.2 IPS |
