iPhone 12
Geekbench AI Score
2686
Single Precision Score
13187
Half Precision Score
12804
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 16 2025 09:25 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1276
237.2 IPS |
|
|
Image Classification (HP)
|
100% |
4875
906.6 IPS |
|
|
Image Classification (Q)
|
96% |
4652
868.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8665
140.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8574
139.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5115
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
62630
73.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
61839
72.5 IPS |
|
|
Object Detection (SP)
|
100% |
1285
101.9 IPS |
|
|
Object Detection (HP)
|
99% |
5838
464.4 IPS |
|
|
Object Detection (Q)
|
91% |
5142
410.9 IPS |
|
|
Face Detection (SP)
|
100% |
2508
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
14727
175.0 IPS |
|
|
Face Detection (Q)
|
100% |
11496
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4630
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
38911
299.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
36625
286.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13022
16.7 IPS |
|
|
Style Transfer (HP)
|
100% |
95053
122.2 IPS |
|
|
Style Transfer (Q)
|
96% |
94911
122.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2763
102.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17386
642.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17811
657.7 IPS |
|
|
Text Classification (SP)
|
100% |
2128
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2317
3.09 KIPS |
|
|
Text Classification (Q)
|
93% |
2347
3.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2309
39.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4695
80.9 IPS |
|
|
Machine Translation (Q)
|
98% |
5590
96.6 IPS |
