iPhone 12 Pro
Geekbench AI Score
2598
Single Precision Score
4539
Half Precision Score
3809
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:16 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1257
233.7 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
96% |
1456
271.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1087
17.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2145
34.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4814
5.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
9588
11.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
8948
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1241
98.4 IPS |
|
|
Object Detection (HP)
|
97% |
2240
178.3 IPS |
|
|
Object Detection (Q)
|
94% |
1623
129.4 IPS |
|
|
Face Detection (SP)
|
100% |
2534
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4714
56.0 IPS |
|
|
Face Detection (Q)
|
100% |
2630
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4280
33.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8606
66.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5987
46.8 IPS |
|
|
Style Transfer (SP)
|
100% |
11858
15.2 IPS |
|
|
Style Transfer (HP)
|
100% |
20698
26.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18159
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2593
95.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3945
145.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3152
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3765
5.03 KIPS |
|
|
Text Classification (Q)
|
93% |
3750
5.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2291
39.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4158
71.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4194
72.5 IPS |
