iPhone 12
Geekbench AI Score
1944
Single Precision Score
2968
Half Precision Score
2806
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | hermeschen1116 |
| Upload Date | June 14 2025 01:05 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
980
182.2 IPS |
|
|
Image Classification (HP)
|
100% |
1659
308.6 IPS |
|
|
Image Classification (Q)
|
96% |
1068
199.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1226
19.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1655
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3523
4.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
5065
5.91 IPS |
|
|
Pose Estimation (Q)
|
95% |
4677
5.48 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.3 IPS |
|
|
Object Detection (HP)
|
97% |
1040
82.8 IPS |
|
|
Object Detection (Q)
|
94% |
1023
81.6 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (Q)
|
100% |
1322
15.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2463
19.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5064
39.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4442
34.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8148
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
14081
18.1 IPS |
|
|
Style Transfer (Q)
|
96% |
14177
18.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2608
96.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3221
118.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3151
116.3 IPS |
|
|
Text Classification (SP)
|
100% |
2185
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3600
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3595
4.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
98% |
2709
46.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3797
65.6 IPS |
