iPhone 12 Pro
Geekbench AI Score
2010
Single Precision Score
2217
Half Precision Score
2085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 08:07 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
416
77.4 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
96% |
333
62.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1637
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
6107
7.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
8965
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8083
9.48 IPS |
|
|
Object Detection (SP)
|
100% |
675
53.5 IPS |
|
|
Object Detection (HP)
|
100% |
646
51.2 IPS |
|
|
Object Detection (Q)
|
92% |
614
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
3493
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
3083
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4192
32.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
5653
43.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
5178
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12672
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13645
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13250
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1737
64.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1514
55.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1395
51.5 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3891
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3870
5.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (Q)
|
98% |
503
8.69 IPS |
