iPhone 12 Pro
Geekbench AI Score
1684
Single Precision Score
2994
Half Precision Score
2455
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 19 2024 03:04 AM |
| 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% |
571
106.2 IPS |
|
|
Image Classification (HP)
|
100% |
874
162.6 IPS |
|
|
Image Classification (Q)
|
96% |
618
115.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
913
14.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1011
16.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2713
3.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
5838
6.81 IPS |
|
|
Pose Estimation (Q)
|
95% |
5042
5.91 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
97% |
970
77.3 IPS |
|
|
Object Detection (Q)
|
94% |
728
58.1 IPS |
|
|
Face Detection (SP)
|
100% |
1384
16.4 IPS |
|
|
Face Detection (HP)
|
100% |
2304
27.4 IPS |
|
|
Face Detection (Q)
|
100% |
1330
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2276
17.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
4323
33.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
3061
23.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6912
8.89 IPS |
|
|
Style Transfer (HP)
|
100% |
22809
29.3 IPS |
|
|
Style Transfer (Q)
|
96% |
19859
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2932
108.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4249
156.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3086
114.0 IPS |
|
|
Text Classification (SP)
|
100% |
2151
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3701
4.94 KIPS |
|
|
Text Classification (Q)
|
93% |
3693
4.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
2275
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3591
62.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3768
65.1 IPS |
