iPhone 12
Geekbench AI Score
1959
Single Precision Score
2220
Half Precision Score
2095
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | September 16 2025 01:46 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 12 |
| Model ID | iPhone13,2 |
| Motherboard | D53gAP |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.5 IPS |
|
|
Image Classification (HP)
|
100% |
358
66.6 IPS |
|
|
Image Classification (Q)
|
96% |
343
64.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1678
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1819
29.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1640
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
6141
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8574
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
7914
9.28 IPS |
|
|
Object Detection (SP)
|
100% |
655
51.9 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
92% |
625
49.9 IPS |
|
|
Face Detection (SP)
|
100% |
3307
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3571
42.4 IPS |
|
|
Face Detection (Q)
|
100% |
3071
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3793
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5629
43.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5207
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12500
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13699
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13270
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1700
62.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1570
58.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1431
52.8 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3829
5.11 KIPS |
|
|
Text Classification (Q)
|
93% |
3812
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
510
8.79 IPS |
|
|
Machine Translation (Q)
|
98% |
506
8.75 IPS |
