iPhone 12 Pro
Geekbench AI Score
2646
Single Precision Score
4440
Half Precision Score
3705
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 02:59 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% |
1262
234.6 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (Q)
|
96% |
1364
254.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1753
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2177
35.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
5043
5.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
10100
11.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8942
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1265
100.3 IPS |
|
|
Object Detection (HP)
|
97% |
2176
173.3 IPS |
|
|
Object Detection (Q)
|
94% |
1565
124.8 IPS |
|
|
Face Detection (SP)
|
100% |
2494
29.6 IPS |
|
|
Face Detection (HP)
|
100% |
4630
55.0 IPS |
|
|
Face Detection (Q)
|
100% |
2573
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4585
35.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
9107
70.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6410
50.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12704
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
20733
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17865
23.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2669
98.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3903
144.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2963
109.4 IPS |
|
|
Text Classification (SP)
|
100% |
2105
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3598
4.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
2261
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3342
57.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3737
64.6 IPS |
