iPhone 12
Geekbench AI Score
2421
Single Precision Score
3727
Half Precision Score
3268
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 11:50 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1159
215.6 IPS |
|
|
Image Classification (HP)
|
100% |
1478
274.9 IPS |
|
|
Image Classification (Q)
|
96% |
1196
223.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1511
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5135
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10578
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9330
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1194
94.7 IPS |
|
|
Object Detection (HP)
|
97% |
1740
138.5 IPS |
|
|
Object Detection (Q)
|
94% |
1360
108.4 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3528
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2268
26.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4451
34.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
7014
54.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5376
42.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12604
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
21017
27.0 IPS |
|
|
Style Transfer (Q)
|
96% |
17883
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2645
97.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3933
145.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3045
112.5 IPS |
|
|
Text Classification (SP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3349
4.47 KIPS |
|
|
Text Classification (Q)
|
93% |
3307
4.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
1625
28.0 IPS |
|
|
Machine Translation (HP)
|
98% |
2753
47.6 IPS |
|
|
Machine Translation (Q)
|
98% |
2768
47.8 IPS |
