iPhone 12
Geekbench AI Score
2001
Single Precision Score
2269
Half Precision Score
2187
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | TheDogDR |
| Upload Date | February 21 2026 03:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
382
71.0 IPS |
|
|
Image Classification (HP)
|
100% |
364
67.6 IPS |
|
|
Image Classification (Q)
|
94% |
357
66.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1659
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1709
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1734
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6131
7.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
8938
10.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
8139
9.54 IPS |
|
|
Object Detection (SP)
|
100% |
654
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
649
51.5 IPS |
|
|
Object Detection (Q)
|
91% |
641
51.2 IPS |
|
|
Face Detection (SP)
|
100% |
3490
41.5 IPS |
|
|
Face Detection (HP)
|
100% |
3639
43.2 IPS |
|
|
Face Detection (Q)
|
100% |
3531
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3837
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5584
43.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
5338
41.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12932
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13674
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13414
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1686
62.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1469
54.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1410
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
2312
3.09 KIPS |
|
|
Text Classification (HP)
|
99% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3846
5.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
637
11.0 IPS |
|
|
Machine Translation (Q)
|
98% |
566
9.78 IPS |
