iPhone 12
Geekbench AI Score
2457
Single Precision Score
10682
Half Precision Score
10949
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 01:18 AM |
| Views | 1 |
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% |
1172
217.9 IPS |
|
|
Image Classification (HP)
|
100% |
4744
882.3 IPS |
|
|
Image Classification (Q)
|
96% |
4663
870.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1076
17.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4970
80.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5589
90.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3982
4.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
49957
58.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
59967
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1211
96.1 IPS |
|
|
Object Detection (HP)
|
99% |
5110
406.5 IPS |
|
|
Object Detection (Q)
|
91% |
5054
403.8 IPS |
|
|
Face Detection (SP)
|
100% |
2226
26.4 IPS |
|
|
Face Detection (HP)
|
100% |
12500
148.5 IPS |
|
|
Face Detection (Q)
|
100% |
11077
131.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4408
34.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
36678
282.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
37226
290.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11833
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96764
124.4 IPS |
|
|
Style Transfer (Q)
|
96% |
98789
127.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2616
96.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18185
671.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19933
736.0 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
2257
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2248
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
2099
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1766
30.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1718
29.7 IPS |
