iPhone 12
Geekbench AI Score
1629
Single Precision Score
8687
Half Precision Score
8626
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 09 2025 12:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
669
124.4 IPS |
|
|
Image Classification (HP)
|
100% |
2879
535.4 IPS |
|
|
Image Classification (Q)
|
96% |
3055
570.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5050
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5335
86.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3036
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
37204
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36907
43.3 IPS |
|
|
Object Detection (SP)
|
100% |
684
54.2 IPS |
|
|
Object Detection (HP)
|
99% |
3630
288.7 IPS |
|
|
Object Detection (Q)
|
91% |
3222
257.4 IPS |
|
|
Face Detection (SP)
|
100% |
1641
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
7184
85.4 IPS |
|
|
Face Detection (Q)
|
100% |
6711
79.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2646
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24659
190.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
23723
185.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7911
10.2 IPS |
|
|
Style Transfer (HP)
|
100% |
66656
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64567
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1946
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13544
500.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13649
504.0 IPS |
|
|
Text Classification (SP)
|
100% |
1363
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2081
2.78 KIPS |
|
|
Text Classification (Q)
|
93% |
2111
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3974
68.7 IPS |
