iPhone 12 Pro
Geekbench AI Score
2722
Single Precision Score
12139
Half Precision Score
12174
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 26 2025 08:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1230
228.8 IPS |
|
|
Image Classification (HP)
|
100% |
4597
854.9 IPS |
|
|
Image Classification (Q)
|
96% |
4786
893.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1131
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
7873
127.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
7890
127.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5217
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
58939
68.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
59694
70.0 IPS |
|
|
Object Detection (SP)
|
100% |
1243
98.6 IPS |
|
|
Object Detection (HP)
|
99% |
5244
417.2 IPS |
|
|
Object Detection (Q)
|
91% |
4771
381.2 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
11419
135.7 IPS |
|
|
Face Detection (Q)
|
100% |
9864
117.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4864
37.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
34413
265.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
35741
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13594
17.5 IPS |
|
|
Style Transfer (HP)
|
100% |
94895
122.0 IPS |
|
|
Style Transfer (Q)
|
96% |
90972
117.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2807
103.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19290
712.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18866
696.6 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2430
3.24 KIPS |
|
|
Text Classification (Q)
|
93% |
2316
3.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
2251
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3555
61.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4748
82.0 IPS |
