iPhone 12 Pro
Geekbench AI Score
2607
Single Precision Score
4633
Half Precision Score
3862
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | danny22 |
| Upload Date | February 18 2026 12:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
2033
378.0 IPS |
|
|
Image Classification (Q)
|
96% |
1452
271.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1120
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1747
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2185
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4834
5.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
9969
11.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9194
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1172
93.0 IPS |
|
|
Object Detection (HP)
|
97% |
2214
176.2 IPS |
|
|
Object Detection (Q)
|
94% |
1620
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
2421
28.8 IPS |
|
|
Face Detection (HP)
|
100% |
4636
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2637
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4505
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
8952
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6322
49.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12441
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
21049
27.1 IPS |
|
|
Style Transfer (Q)
|
96% |
18101
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3162
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
2315
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3877
5.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2250
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4235
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4229
73.1 IPS |
