iPhone 12
Geekbench AI Score
2382
Single Precision Score
3661
Half Precision Score
3217
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | sharg |
| Upload Date | November 05 2025 08:58 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1169
217.5 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.4 IPS |
|
|
Image Classification (Q)
|
96% |
1201
224.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1005
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1015
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1505
24.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4901
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
10332
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9103
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1185
94.0 IPS |
|
|
Object Detection (HP)
|
97% |
1736
138.2 IPS |
|
|
Object Detection (Q)
|
94% |
1367
109.0 IPS |
|
|
Face Detection (SP)
|
100% |
1911
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
3525
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2217
26.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4304
33.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
7024
54.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
5341
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12427
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20493
26.3 IPS |
|
|
Style Transfer (Q)
|
96% |
17695
22.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2573
95.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3963
146.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3061
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
2100
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
2950
3.94 KIPS |
|
|
Text Classification (Q)
|
93% |
2981
4.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
1563
26.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2719
47.0 IPS |
|
|
Machine Translation (Q)
|
98% |
2762
47.7 IPS |
