iPhone 12 Pro
Geekbench AI Score
2372
Single Precision Score
3705
Half Precision Score
3228
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 08:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (Q)
|
96% |
1360
254.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1138
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1750
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2179
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4408
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
5942
6.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
5812
6.81 IPS |
|
|
Object Detection (SP)
|
100% |
758
60.1 IPS |
|
|
Object Detection (HP)
|
97% |
2080
165.6 IPS |
|
|
Object Detection (Q)
|
94% |
1453
115.8 IPS |
|
|
Face Detection (SP)
|
100% |
2429
28.9 IPS |
|
|
Face Detection (HP)
|
100% |
4360
51.8 IPS |
|
|
Face Detection (Q)
|
100% |
2486
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4354
33.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9032
69.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5943
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11897
15.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13432
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
17597
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2101
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3688
136.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2603
96.1 IPS |
|
|
Text Classification (SP)
|
100% |
2086
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (Q)
|
93% |
2936
3.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2198
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
2037
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2474
42.8 IPS |
