iPhone 12 Pro
Geekbench AI Score
2601
Single Precision Score
12440
Half Precision Score
12617
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:06 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1092
203.1 IPS |
|
|
Image Classification (HP)
|
100% |
4480
833.2 IPS |
|
|
Image Classification (Q)
|
96% |
4519
843.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
6999
113.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
7557
122.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4206
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
55139
64.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
54483
63.9 IPS |
|
|
Object Detection (SP)
|
100% |
1174
93.1 IPS |
|
|
Object Detection (HP)
|
99% |
6071
483.0 IPS |
|
|
Object Detection (Q)
|
91% |
5243
418.9 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
11575
137.5 IPS |
|
|
Face Detection (Q)
|
100% |
10320
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4913
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35905
276.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
39398
307.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13739
17.7 IPS |
|
|
Style Transfer (HP)
|
100% |
110698
142.3 IPS |
|
|
Style Transfer (Q)
|
96% |
106531
137.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2734
100.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20721
765.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21307
786.8 IPS |
|
|
Text Classification (SP)
|
100% |
2346
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (Q)
|
93% |
2460
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2288
39.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4616
79.8 IPS |
