iPhone 12 Pro
Geekbench AI Score
1941
Single Precision Score
2182
Half Precision Score
2071
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MrDaniel |
| Upload Date | December 16 2025 05:37 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
394
73.2 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.8 IPS |
|
|
Image Classification (Q)
|
96% |
338
63.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1698
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1613
26.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6129
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
9164
10.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
8246
9.67 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (HP)
|
100% |
636
50.5 IPS |
|
|
Object Detection (Q)
|
92% |
579
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
3243
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
3338
39.7 IPS |
|
|
Face Detection (Q)
|
100% |
3108
36.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3850
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5649
43.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5222
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12833
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13557
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13173
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1647
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1565
57.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1434
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
2096
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3753
5.01 KIPS |
|
|
Text Classification (Q)
|
93% |
3641
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
488
8.41 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
500
8.65 IPS |
