iPhone 12
Geekbench AI Score
1670
Single Precision Score
1996
Half Precision Score
1824
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
395
73.5 IPS |
|
|
Image Classification (HP)
|
100% |
342
63.7 IPS |
|
|
Image Classification (Q)
|
96% |
308
57.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1409
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1681
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4204
4.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
6986
8.15 IPS |
|
|
Pose Estimation (Q)
|
94% |
5520
6.47 IPS |
|
|
Object Detection (SP)
|
100% |
653
51.8 IPS |
|
|
Object Detection (HP)
|
100% |
613
48.6 IPS |
|
|
Object Detection (Q)
|
92% |
611
48.8 IPS |
|
|
Face Detection (SP)
|
100% |
2790
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
3606
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
2567
30.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3413
26.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
4600
35.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
4171
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11239
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13581
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
13342
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1552
57.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1374
50.8 IPS |
|
|
Text Classification (SP)
|
100% |
1367
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
487
8.39 IPS |
|
|
Machine Translation (HP)
|
100% |
502
8.65 IPS |
|
|
Machine Translation (Q)
|
98% |
502
8.68 IPS |
