iPhone 12 Pro
Geekbench AI Score
1801
Single Precision Score
2016
Half Precision Score
1861
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | A0B06 |
| Upload Date | January 28 2025 10:10 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| 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% |
392
72.8 IPS |
|
|
Image Classification (HP)
|
100% |
349
64.8 IPS |
|
|
Image Classification (Q)
|
97% |
330
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1368
22.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1477
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6153
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
9050
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
8137
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
717
56.9 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
91% |
581
46.4 IPS |
|
|
Face Detection (SP)
|
100% |
3314
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (Q)
|
100% |
2596
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4088
31.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5338
41.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
4729
37.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12817
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13457
17.3 IPS |
|
|
Style Transfer (Q)
|
96% |
12742
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1556
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1485
54.8 IPS |
|
|
Text Classification (SP)
|
100% |
2087
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (Q)
|
93% |
3557
4.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.54 IPS |
|
|
Machine Translation (Q)
|
98% |
263
4.55 IPS |
