iPhone 12
Geekbench AI Score
1942
Single Precision Score
2213
Half Precision Score
2156
Quantized Score
Geekbench AI 1.4.0-Beta1 Corporate for iOS AArch64
Result Information
| Upload Date | June 06 2025 07:57 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
373
69.4 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.7 IPS |
|
|
Image Classification (Q)
|
96% |
350
65.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1731
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1683
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6169
7.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
9043
10.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
8240
9.66 IPS |
|
|
Object Detection (SP)
|
100% |
697
55.3 IPS |
|
|
Object Detection (HP)
|
100% |
699
55.5 IPS |
|
|
Object Detection (Q)
|
92% |
683
54.5 IPS |
|
|
Face Detection (SP)
|
100% |
3473
41.3 IPS |
|
|
Face Detection (HP)
|
100% |
3258
38.7 IPS |
|
|
Face Detection (Q)
|
100% |
3147
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3299
25.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5569
42.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
5155
40.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12720
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13666
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13380
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1858
68.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1586
58.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1716
63.4 IPS |
|
|
Text Classification (SP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3674
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3646
4.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
98% |
484
8.36 IPS |
