iPhone 12 Pro
Geekbench AI Score
1922
Single Precision Score
2171
Half Precision Score
2069
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 03:42 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7 |
| 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% |
377
70.0 IPS |
|
|
Image Classification (HP)
|
100% |
339
63.1 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1648
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6205
7.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
8249
9.62 IPS |
|
|
Pose Estimation (Q)
|
94% |
7618
8.93 IPS |
|
|
Object Detection (SP)
|
100% |
693
55.0 IPS |
|
|
Object Detection (HP)
|
100% |
674
53.5 IPS |
|
|
Object Detection (Q)
|
92% |
658
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
3279
39.0 IPS |
|
|
Face Detection (HP)
|
100% |
3486
41.4 IPS |
|
|
Face Detection (Q)
|
100% |
3094
36.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3849
29.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5579
43.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
5221
40.8 IPS |
|
|
Style Transfer (SP)
|
100% |
12207
15.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13551
17.4 IPS |
|
|
Style Transfer (Q)
|
96% |
13144
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1593
58.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1340
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
2082
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3629
4.84 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
492
8.47 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
