iPhone 12
Geekbench AI Score
1986
Single Precision Score
2230
Half Precision Score
2100
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TILR |
| Upload Date | September 25 2025 02:02 AM |
| Views | 3 |
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% |
422
78.5 IPS |
|
|
Image Classification (HP)
|
100% |
369
68.6 IPS |
|
|
Image Classification (Q)
|
96% |
353
66.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
1669
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6159
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
8862
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
7984
9.36 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
659
52.3 IPS |
|
|
Object Detection (Q)
|
92% |
599
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
3312
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3666
43.6 IPS |
|
|
Face Detection (Q)
|
100% |
3127
37.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3724
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5592
43.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
5193
40.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12574
16.2 IPS |
|
|
Style Transfer (HP)
|
100% |
13717
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13322
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1810
66.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1426
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1359
50.2 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
93% |
3830
5.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
514
8.85 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
98% |
528
9.13 IPS |
