iPhone 12
Geekbench AI Score
2631
Single Precision Score
11236
Half Precision Score
10988
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 19 2024 12:45 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1203
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
4573
850.4 IPS |
|
|
Image Classification (Q)
|
96% |
4490
838.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5718
92.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5973
96.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5089
5.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
61065
71.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60048
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (HP)
|
99% |
5512
438.5 IPS |
|
|
Object Detection (Q)
|
91% |
5144
411.0 IPS |
|
|
Face Detection (SP)
|
100% |
2424
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
14140
168.0 IPS |
|
|
Face Detection (Q)
|
100% |
12082
143.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4675
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37072
285.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
37765
295.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12515
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
91199
117.2 IPS |
|
|
Style Transfer (Q)
|
96% |
89293
115.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16539
610.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18055
666.7 IPS |
|
|
Text Classification (SP)
|
100% |
2129
2.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2420
3.23 KIPS |
|
|
Text Classification (Q)
|
93% |
2333
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
2217
38.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1806
31.2 IPS |
