iPhone 12 Pro
Geekbench AI Score
1851
Single Precision Score
11604
Half Precision Score
12433
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | November 19 2025 09:07 AM |
| Views | 9 |
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% |
898
167.0 IPS |
|
|
Image Classification (HP)
|
100% |
4867
905.1 IPS |
|
|
Image Classification (Q)
|
96% |
4960
926.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
802
13.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7740
125.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8129
131.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3316
3.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
51028
59.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
62438
73.2 IPS |
|
|
Object Detection (SP)
|
100% |
813
64.5 IPS |
|
|
Object Detection (HP)
|
99% |
5608
446.1 IPS |
|
|
Object Detection (Q)
|
91% |
4914
392.6 IPS |
|
|
Face Detection (SP)
|
100% |
1826
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
10719
127.4 IPS |
|
|
Face Detection (Q)
|
100% |
10320
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2999
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32922
253.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
38500
300.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9041
11.6 IPS |
|
|
Style Transfer (HP)
|
100% |
86651
111.4 IPS |
|
|
Style Transfer (Q)
|
96% |
101487
131.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1970
72.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15088
557.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17682
652.9 IPS |
|
|
Text Classification (SP)
|
100% |
1617
2.16 KIPS |
|
|
Text Classification (HP)
|
100% |
2378
3.17 KIPS |
|
|
Text Classification (Q)
|
93% |
2391
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
1549
26.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4187
72.4 IPS |
