iPhone 12
Geekbench AI Score
2697
Single Precision Score
4484
Half Precision Score
3747
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | dipak |
| Upload Date | December 04 2024 01:11 AM |
| Views | 8 |
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% |
1263
234.8 IPS |
|
|
Image Classification (HP)
|
100% |
1847
343.5 IPS |
|
|
Image Classification (Q)
|
96% |
1337
249.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1150
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1770
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2175
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5281
6.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
10545
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9280
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1274
101.0 IPS |
|
|
Object Detection (HP)
|
97% |
2159
171.9 IPS |
|
|
Object Detection (Q)
|
94% |
1564
124.6 IPS |
|
|
Face Detection (SP)
|
100% |
2523
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
4637
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2666
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4790
36.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
9501
73.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6592
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12841
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21203
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18432
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2788
103.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3919
144.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2984
110.2 IPS |
|
|
Text Classification (SP)
|
100% |
2117
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3665
4.89 KIPS |
|
|
Text Classification (Q)
|
93% |
3557
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3296
56.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3763
65.0 IPS |
