iPhone 12 Pro
Geekbench AI Score
2487
Single Precision Score
12185
Half Precision Score
12087
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | crypt3r |
| Upload Date | November 08 2025 11:44 PM |
| Views | 4 |
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% |
1228
228.5 IPS |
|
|
Image Classification (HP)
|
100% |
4146
771.1 IPS |
|
|
Image Classification (Q)
|
96% |
3875
723.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1110
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7960
129.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8494
137.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4034
4.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
59058
68.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59826
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
1225
97.2 IPS |
|
|
Object Detection (HP)
|
99% |
5648
449.3 IPS |
|
|
Object Detection (Q)
|
91% |
4968
397.0 IPS |
|
|
Face Detection (SP)
|
100% |
2536
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
12591
149.6 IPS |
|
|
Face Detection (Q)
|
100% |
10956
130.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4021
31.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
37082
285.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
36362
284.2 IPS |
|
|
Style Transfer (SP)
|
100% |
10561
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94402
121.4 IPS |
|
|
Style Transfer (Q)
|
96% |
91444
118.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2431
89.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16779
619.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17614
650.4 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.09 KIPS |
|
|
Text Classification (HP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2260
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
2230
38.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3768
64.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4692
81.1 IPS |
