iPhone 12 Pro
Geekbench AI Score
2744
Single Precision Score
11426
Half Precision Score
11114
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 20 2024 04:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1 |
| 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% |
1264
235.0 IPS |
|
|
Image Classification (HP)
|
100% |
4307
801.0 IPS |
|
|
Image Classification (Q)
|
96% |
4275
798.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
5695
92.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
5864
95.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5381
6.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
62938
73.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
61938
72.6 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.5 IPS |
|
|
Object Detection (HP)
|
99% |
6101
485.3 IPS |
|
|
Object Detection (Q)
|
91% |
5376
429.6 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
14337
170.4 IPS |
|
|
Face Detection (Q)
|
100% |
11928
141.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4877
37.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37571
289.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
38048
297.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13517
17.4 IPS |
|
|
Style Transfer (HP)
|
100% |
100535
129.2 IPS |
|
|
Style Transfer (Q)
|
96% |
98500
127.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2928
108.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17373
641.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18213
672.5 IPS |
|
|
Text Classification (SP)
|
100% |
2112
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2164
2.89 KIPS |
|
|
Text Classification (Q)
|
93% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1978
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1968
34.0 IPS |
