iPhone 12 Pro
Geekbench AI Score
2216
Single Precision Score
3917
Half Precision Score
3144
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 17 2025 05:35 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.1 |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1256
233.6 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.4 IPS |
|
|
Image Classification (Q)
|
96% |
1303
243.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1093
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1653
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2028
32.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4139
4.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
7657
8.93 IPS |
|
|
Pose Estimation (Q)
|
95% |
7004
8.21 IPS |
|
|
Object Detection (SP)
|
100% |
1124
89.2 IPS |
|
|
Object Detection (HP)
|
97% |
1988
158.3 IPS |
|
|
Object Detection (Q)
|
94% |
1355
108.0 IPS |
|
|
Face Detection (SP)
|
100% |
2206
26.2 IPS |
|
|
Face Detection (HP)
|
100% |
4085
48.5 IPS |
|
|
Face Detection (Q)
|
100% |
2255
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3668
28.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
7234
55.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5364
41.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8865
11.4 IPS |
|
|
Style Transfer (HP)
|
100% |
15925
20.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13737
17.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1976
73.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3436
126.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2701
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
2088
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3649
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3063
4.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1515
26.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2976
51.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2743
47.4 IPS |
