iPhone 12
Geekbench AI Score
1612
Single Precision Score
1856
Half Precision Score
1742
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | September 03 2025 10:08 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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
68.4 IPS |
|
|
Image Classification (HP)
|
100% |
327
60.8 IPS |
|
|
Image Classification (Q)
|
96% |
304
56.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1457
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1674
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4244
4.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
5051
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
4593
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
712
56.5 IPS |
|
|
Object Detection (HP)
|
100% |
619
49.1 IPS |
|
|
Object Detection (Q)
|
92% |
634
50.6 IPS |
|
|
Face Detection (SP)
|
100% |
2688
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
3466
41.2 IPS |
|
|
Face Detection (Q)
|
100% |
2566
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3449
26.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
4514
34.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
4236
33.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10487
13.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13704
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13299
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1471
54.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1438
53.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1338
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
1048
1.40 KIPS |
|
|
Text Classification (HP)
|
100% |
1800
2.40 KIPS |
|
|
Text Classification (Q)
|
93% |
1808
2.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.45 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
499
8.62 IPS |
