iPhone 12 Pro
Geekbench AI Score
2671
Single Precision Score
4477
Half Precision Score
3749
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 11:24 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2.1 |
| 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% |
1261
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1922
357.5 IPS |
|
|
Image Classification (Q)
|
96% |
1366
255.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1143
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1766
28.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2191
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5106
5.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
10216
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
8995
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1304
103.4 IPS |
|
|
Object Detection (HP)
|
97% |
2177
173.3 IPS |
|
|
Object Detection (Q)
|
94% |
1578
125.8 IPS |
|
|
Face Detection (SP)
|
100% |
2552
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4755
56.5 IPS |
|
|
Face Detection (Q)
|
100% |
2671
31.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4626
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9362
72.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6515
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12672
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20819
26.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18136
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3905
144.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3008
111.1 IPS |
|
|
Text Classification (SP)
|
100% |
2099
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3649
4.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
2269
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3327
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3732
64.5 IPS |
