iPhone 12
Geekbench AI Score
1637
Single Precision Score
2878
Half Precision Score
2379
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
670
124.6 IPS |
|
|
Image Classification (HP)
|
100% |
1087
202.2 IPS |
|
|
Image Classification (Q)
|
96% |
769
143.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
714
11.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1118
18.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1299
21.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3192
3.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
7433
8.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
6544
7.67 IPS |
|
|
Object Detection (SP)
|
100% |
730
57.9 IPS |
|
|
Object Detection (HP)
|
97% |
1209
96.3 IPS |
|
|
Object Detection (Q)
|
94% |
913
72.7 IPS |
|
|
Face Detection (SP)
|
100% |
1621
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
2979
35.4 IPS |
|
|
Face Detection (Q)
|
100% |
1702
20.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2693
20.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5197
40.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
3817
29.8 IPS |
|
|
Style Transfer (SP)
|
100% |
7668
9.86 IPS |
|
|
Style Transfer (HP)
|
100% |
13613
17.5 IPS |
|
|
Style Transfer (Q)
|
96% |
11487
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2445
90.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1917
70.8 IPS |
|
|
Text Classification (SP)
|
100% |
1375
1.83 KIPS |
|
|
Text Classification (HP)
|
99% |
2389
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2370
3.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
1383
23.8 IPS |
|
|
Machine Translation (HP)
|
98% |
2905
50.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2874
49.7 IPS |
