iPhone 12 Pro
Geekbench AI Score
1877
Single Precision Score
3164
Half Precision Score
2620
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:39 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% |
1239
230.5 IPS |
|
|
Image Classification (HP)
|
100% |
1916
356.4 IPS |
|
|
Image Classification (Q)
|
96% |
1076
200.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1041
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1413
22.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1350
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3590
4.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7928
9.25 IPS |
|
|
Pose Estimation (Q)
|
95% |
6208
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
97% |
2017
160.6 IPS |
|
|
Object Detection (Q)
|
94% |
1268
101.1 IPS |
|
|
Face Detection (SP)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
4147
49.3 IPS |
|
|
Face Detection (Q)
|
100% |
2116
25.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3358
25.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4037
31.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
4251
33.2 IPS |
|
|
Style Transfer (SP)
|
100% |
6761
8.69 IPS |
|
|
Style Transfer (HP)
|
100% |
10951
14.1 IPS |
|
|
Style Transfer (Q)
|
96% |
9438
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1855
68.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2749
101.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2199
81.2 IPS |
|
|
Text Classification (SP)
|
100% |
1293
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2373
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2359
3.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1653
28.5 IPS |
|
|
Machine Translation (HP)
|
98% |
1947
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3027
52.3 IPS |
