iPhone 12 Pro
Geekbench AI Score
2692
Single Precision Score
4769
Half Precision Score
3980
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 14 2025 12:17 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
1220
226.9 IPS |
|
|
Image Classification (HP)
|
100% |
2034
378.3 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1126
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1759
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2204
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5237
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
11089
12.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9837
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
1218
96.6 IPS |
|
|
Object Detection (HP)
|
97% |
2236
178.0 IPS |
|
|
Object Detection (Q)
|
94% |
1659
132.3 IPS |
|
|
Face Detection (SP)
|
100% |
2535
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4733
56.2 IPS |
|
|
Face Detection (Q)
|
100% |
2738
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4732
36.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
9413
72.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6672
52.2 IPS |
|
|
Style Transfer (SP)
|
100% |
13255
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22500
28.9 IPS |
|
|
Style Transfer (Q)
|
96% |
19693
25.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2731
100.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4138
152.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3238
119.6 IPS |
|
|
Text Classification (SP)
|
100% |
2339
3.12 KIPS |
|
|
Text Classification (HP)
|
99% |
3911
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3891
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4230
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4217
72.9 IPS |
