iPhone 12 Pro
Geekbench AI Score
2475
Single Precision Score
12412
Half Precision Score
12466
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 10 2025 10:14 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
1226
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
4663
867.2 IPS |
|
|
Image Classification (Q)
|
96% |
4840
903.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8087
131.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8096
131.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4507
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
59326
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60295
70.7 IPS |
|
|
Object Detection (SP)
|
100% |
1101
87.4 IPS |
|
|
Object Detection (HP)
|
99% |
5889
468.4 IPS |
|
|
Object Detection (Q)
|
91% |
5652
451.6 IPS |
|
|
Face Detection (SP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
11634
138.2 IPS |
|
|
Face Detection (Q)
|
100% |
9973
118.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4220
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34465
265.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
35389
276.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11675
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
96305
123.8 IPS |
|
|
Style Transfer (Q)
|
96% |
93198
120.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2410
89.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19517
720.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19899
734.8 IPS |
|
|
Text Classification (SP)
|
100% |
2219
2.96 KIPS |
|
|
Text Classification (HP)
|
100% |
2387
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2434
3.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
2091
36.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3662
63.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4261
73.6 IPS |
