iPhone 12 Pro
Geekbench AI Score
1230
Single Precision Score
1781
Half Precision Score
1480
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | nostah |
| Upload Date | August 15 2024 08:49 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
537
99.8 IPS |
|
|
Image Classification (HP)
|
100% |
655
121.8 IPS |
|
|
Image Classification (Q)
|
99% |
664
123.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
532
8.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
488
7.91 IPS |
|
|
Image Segmentation (Q)
|
100% |
489
7.92 IPS |
|
|
Pose Estimation (SP)
|
100% |
2445
2.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
5677
6.62 IPS |
|
|
Pose Estimation (Q)
|
96% |
4844
5.68 IPS |
|
|
Object Detection (SP)
|
100% |
559
44.3 IPS |
|
|
Object Detection (HP)
|
97% |
800
63.7 IPS |
|
|
Object Detection (Q)
|
94% |
621
49.5 IPS |
|
|
Face Detection (SP)
|
100% |
1153
13.7 IPS |
|
|
Face Detection (HP)
|
100% |
1686
20.0 IPS |
|
|
Face Detection (Q)
|
100% |
1099
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2080
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3265
25.2 IPS |
|
|
Depth Estimation (Q)
|
96% |
1653
12.8 IPS |
|
|
Style Transfer (SP)
|
100% |
6403
8.23 IPS |
|
|
Style Transfer (HP)
|
100% |
10535
13.5 IPS |
|
|
Style Transfer (Q)
|
100% |
10547
13.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1488
54.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2020
74.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1454
53.9 IPS |
|
|
Text Classification (SP)
|
100% |
1016
1.36 KIPS |
|
|
Text Classification (HP)
|
100% |
1481
1.98 KIPS |
|
|
Text Classification (Q)
|
93% |
1459
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
98% |
1277
22.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1274
22.0 IPS |
