iPhone 12
Geekbench AI Score
2709
Single Precision Score
4508
Half Precision Score
3770
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | gauravtab1 |
| Upload Date | November 17 2024 08:52 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1250
232.4 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.9 IPS |
|
|
Image Classification (Q)
|
96% |
1360
253.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1777
28.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2208
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5285
6.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
10630
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9400
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
97% |
2203
175.4 IPS |
|
|
Object Detection (Q)
|
94% |
1583
126.2 IPS |
|
|
Face Detection (SP)
|
100% |
2546
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4353
51.7 IPS |
|
|
Face Detection (Q)
|
100% |
2546
30.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4736
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9561
73.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
6645
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13087
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
21393
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18554
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2810
103.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4066
150.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3060
113.0 IPS |
|
|
Text Classification (SP)
|
100% |
2133
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3608
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3577
4.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
2281
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3347
57.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3786
65.4 IPS |
