iPhone 12
Geekbench AI Score
1929
Single Precision Score
2213
Half Precision Score
2113
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | callearvid |
| Upload Date | August 18 2025 09:11 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| 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% |
368
68.5 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
96% |
335
62.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1656
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1587
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6152
7.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
9099
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
8254
9.68 IPS |
|
|
Object Detection (SP)
|
100% |
701
55.6 IPS |
|
|
Object Detection (HP)
|
100% |
673
53.4 IPS |
|
|
Object Detection (Q)
|
92% |
640
51.1 IPS |
|
|
Face Detection (SP)
|
100% |
3252
38.6 IPS |
|
|
Face Detection (HP)
|
100% |
3410
40.5 IPS |
|
|
Face Detection (Q)
|
100% |
3166
37.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4001
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5536
42.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5159
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12729
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13637
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13191
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1520
56.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1546
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1477
54.5 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3709
4.95 KIPS |
|
|
Text Classification (Q)
|
93% |
3768
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
526
9.05 IPS |
|
|
Machine Translation (Q)
|
98% |
528
9.12 IPS |
