iPhone 12 Pro
Geekbench AI Score
2641
Single Precision Score
4458
Half Precision Score
3694
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | November 20 2024 12:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
96% |
1369
255.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1140
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2206
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5126
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
10272
12.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
9148
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1272
100.9 IPS |
|
|
Object Detection (HP)
|
97% |
2183
173.8 IPS |
|
|
Object Detection (Q)
|
94% |
1579
125.9 IPS |
|
|
Face Detection (SP)
|
100% |
2531
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4674
55.5 IPS |
|
|
Face Detection (Q)
|
100% |
2653
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4625
35.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
9243
71.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
5813
45.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12265
15.8 IPS |
|
|
Style Transfer (HP)
|
100% |
20602
26.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17819
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2660
98.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3868
142.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2984
110.2 IPS |
|
|
Text Classification (SP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3635
4.85 KIPS |
|
|
Text Classification (Q)
|
93% |
3623
4.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
2207
38.0 IPS |
|
|
Machine Translation (HP)
|
98% |
3274
56.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3656
63.2 IPS |
