iPhone 12 Pro
Geekbench AI Score
2552
Single Precision Score
4294
Half Precision Score
3575
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 09:36 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1226
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
1908
354.8 IPS |
|
|
Image Classification (Q)
|
96% |
1357
253.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1097
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1676
27.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2063
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4569
5.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
9017
10.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
8196
9.61 IPS |
|
|
Object Detection (SP)
|
100% |
1207
95.7 IPS |
|
|
Object Detection (HP)
|
97% |
2096
166.8 IPS |
|
|
Object Detection (Q)
|
94% |
1499
119.5 IPS |
|
|
Face Detection (SP)
|
100% |
2428
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2489
29.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4454
34.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8884
68.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
6146
48.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11913
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20146
25.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17341
22.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2654
98.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3915
144.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2901
107.1 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3539
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3537
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2194
37.8 IPS |
|
|
Machine Translation (HP)
|
98% |
3195
55.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3645
63.0 IPS |
