iPhone 12
Geekbench AI Score
2659
Single Precision Score
12631
Half Precision Score
12779
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | February 01 2025 12:38 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
1248
232.1 IPS |
|
|
Image Classification (HP)
|
100% |
4320
803.4 IPS |
|
|
Image Classification (Q)
|
96% |
4674
872.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8350
135.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8688
140.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4979
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
60221
70.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60060
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1297
102.9 IPS |
|
|
Object Detection (HP)
|
99% |
5145
409.3 IPS |
|
|
Object Detection (Q)
|
91% |
4904
391.9 IPS |
|
|
Face Detection (SP)
|
100% |
2522
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
13776
163.7 IPS |
|
|
Face Detection (Q)
|
100% |
11920
141.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4640
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35958
277.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
34520
269.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12667
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
96024
123.4 IPS |
|
|
Style Transfer (Q)
|
96% |
102179
131.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2708
100.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17171
634.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17962
663.3 IPS |
|
|
Text Classification (SP)
|
100% |
2113
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2379
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2290
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4760
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5619
97.1 IPS |
