iPhone 12 Pro
Geekbench AI Score
2648
Single Precision Score
4695
Half Precision Score
3943
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 03 2025 10:34 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
2045
380.3 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1137
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1752
28.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4928
5.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
10456
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9437
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1209
95.9 IPS |
|
|
Object Detection (HP)
|
97% |
2243
178.6 IPS |
|
|
Object Detection (Q)
|
94% |
1650
131.5 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4771
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2722
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4546
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8867
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6606
51.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12760
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
21473
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
19130
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2677
98.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4053
149.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3213
118.6 IPS |
|
|
Text Classification (SP)
|
100% |
2324
3.10 KIPS |
|
|
Text Classification (HP)
|
99% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3923
5.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4246
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4198
72.5 IPS |
