iPhone 12 Pro
Geekbench AI Score
1915
Single Precision Score
2235
Half Precision Score
2114
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | AdrienRL |
| Upload Date | November 09 2025 04:36 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
376
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
383
71.2 IPS |
|
|
Image Classification (Q)
|
96% |
341
63.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1616
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6120
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
9497
11.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
8666
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
616
48.8 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
92% |
616
49.2 IPS |
|
|
Face Detection (SP)
|
100% |
3335
39.6 IPS |
|
|
Face Detection (HP)
|
100% |
3663
43.5 IPS |
|
|
Face Detection (Q)
|
100% |
3185
37.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3661
28.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5650
43.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5186
40.5 IPS |
|
|
Style Transfer (SP)
|
100% |
12668
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13665
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13226
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1574
58.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1418
52.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1415
52.3 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3898
5.20 KIPS |
|
|
Text Classification (Q)
|
93% |
3881
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
504
8.69 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.78 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.75 IPS |
