iPhone 12 Pro
Geekbench AI Score
2694
Single Precision Score
12235
Half Precision Score
12432
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| User | eithel |
| Upload Date | January 31 2026 05:32 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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% |
1227
228.1 IPS |
|
|
Image Classification (HP)
|
100% |
4647
864.1 IPS |
|
|
Image Classification (Q)
|
96% |
4596
858.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1124
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7866
127.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
8107
131.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5112
5.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
59192
69.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
59543
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
1235
98.0 IPS |
|
|
Object Detection (HP)
|
99% |
5414
430.7 IPS |
|
|
Object Detection (Q)
|
91% |
4822
385.3 IPS |
|
|
Face Detection (SP)
|
100% |
2568
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
12100
143.8 IPS |
|
|
Face Detection (Q)
|
100% |
10428
123.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4786
36.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33764
260.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
40003
312.6 IPS |
|
|
Style Transfer (SP)
|
100% |
13189
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
97460
125.3 IPS |
|
|
Style Transfer (Q)
|
96% |
94267
121.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2742
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18613
687.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19036
702.9 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2326
3.11 KIPS |
|
|
Text Classification (Q)
|
93% |
2376
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2245
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3725
64.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4635
80.1 IPS |
