iPhone 12
Geekbench AI Score
2769
Single Precision Score
11558
Half Precision Score
11176
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 01:23 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
4478
832.8 IPS |
|
|
Image Classification (Q)
|
96% |
4104
766.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8212
133.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8398
136.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5530
6.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
61567
71.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
61556
72.1 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.9 IPS |
|
|
Object Detection (HP)
|
99% |
5585
444.2 IPS |
|
|
Object Detection (Q)
|
91% |
4821
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
2581
30.7 IPS |
|
|
Face Detection (HP)
|
100% |
13764
163.5 IPS |
|
|
Face Detection (Q)
|
100% |
11090
131.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
5027
38.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
36030
277.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
35506
277.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13722
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
96183
123.6 IPS |
|
|
Style Transfer (Q)
|
96% |
95993
123.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2979
110.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16740
618.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18171
671.0 IPS |
|
|
Text Classification (SP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2123
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2178
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
2282
39.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1986
34.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1988
34.4 IPS |
