iPhone 12
Geekbench AI Score
1613
Single Precision Score
1940
Half Precision Score
1770
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
337
62.7 IPS |
|
|
Image Classification (HP)
|
100% |
333
61.8 IPS |
|
|
Image Classification (Q)
|
96% |
317
59.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1723
27.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1652
26.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4221
4.92 IPS |
|
|
Pose Estimation (HP)
|
100% |
5048
5.89 IPS |
|
|
Pose Estimation (Q)
|
94% |
4555
5.34 IPS |
|
|
Object Detection (SP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (HP)
|
100% |
626
49.6 IPS |
|
|
Object Detection (Q)
|
92% |
639
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
2881
34.2 IPS |
|
|
Face Detection (HP)
|
100% |
3647
43.3 IPS |
|
|
Face Detection (Q)
|
100% |
2541
30.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3440
26.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
5694
43.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
4098
32.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10388
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13764
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13353
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1505
55.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1483
54.7 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
99% |
1918
2.56 KIPS |
|
|
Text Classification (Q)
|
93% |
1911
2.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
506
8.72 IPS |
|
|
Machine Translation (Q)
|
98% |
505
8.73 IPS |
