iPhone 12
Geekbench AI Score
2496
Single Precision Score
12053
Half Precision Score
12192
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:14 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1276
237.3 IPS |
|
|
Image Classification (HP)
|
100% |
4581
852.0 IPS |
|
|
Image Classification (Q)
|
96% |
4682
874.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7821
126.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
8019
130.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4428
5.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
62838
73.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
61006
71.5 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.8 IPS |
|
|
Object Detection (HP)
|
99% |
5530
439.9 IPS |
|
|
Object Detection (Q)
|
91% |
4973
397.3 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
11783
140.0 IPS |
|
|
Face Detection (Q)
|
100% |
10330
122.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4050
31.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
36521
281.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
38855
303.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11392
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
97036
124.7 IPS |
|
|
Style Transfer (Q)
|
96% |
93280
120.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2520
93.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19215
709.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18857
696.3 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2131
2.84 KIPS |
|
|
Text Classification (Q)
|
93% |
2157
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2294
39.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4187
72.4 IPS |
