iPhone 12 Pro
Geekbench AI Score
2574
Single Precision Score
12515
Half Precision Score
12436
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 04 2026 12:39 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
1215
226.0 IPS |
|
|
Image Classification (HP)
|
100% |
4860
903.8 IPS |
|
|
Image Classification (Q)
|
96% |
5050
943.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7954
128.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8168
132.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4732
5.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
60506
70.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60656
71.1 IPS |
|
|
Object Detection (SP)
|
100% |
1166
92.5 IPS |
|
|
Object Detection (HP)
|
99% |
5607
446.1 IPS |
|
|
Object Detection (Q)
|
91% |
5170
413.1 IPS |
|
|
Face Detection (SP)
|
100% |
2467
29.3 IPS |
|
|
Face Detection (HP)
|
100% |
11580
137.6 IPS |
|
|
Face Detection (Q)
|
100% |
10190
121.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4580
35.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36266
279.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
35652
278.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12433
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
97243
125.0 IPS |
|
|
Style Transfer (Q)
|
96% |
97749
126.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2651
97.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20171
744.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19735
728.7 IPS |
|
|
Text Classification (SP)
|
100% |
2310
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2349
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2383
3.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
2247
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3715
64.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4098
70.8 IPS |
