iPhone 12
Geekbench AI Score
2607
Single Precision Score
12502
Half Precision Score
12593
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:27 PM |
| Views | 11 |
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% |
1222
227.3 IPS |
|
|
Image Classification (HP)
|
100% |
4614
858.0 IPS |
|
|
Image Classification (Q)
|
96% |
4836
903.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
7968
129.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8623
139.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4870
5.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
60607
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
60386
70.8 IPS |
|
|
Object Detection (SP)
|
100% |
1175
93.2 IPS |
|
|
Object Detection (HP)
|
99% |
5656
449.9 IPS |
|
|
Object Detection (Q)
|
91% |
5329
425.8 IPS |
|
|
Face Detection (SP)
|
100% |
2414
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
12298
146.1 IPS |
|
|
Face Detection (Q)
|
100% |
10314
122.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4536
34.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
36221
279.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
37916
296.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12379
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
102800
132.2 IPS |
|
|
Style Transfer (Q)
|
96% |
94020
121.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2639
97.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18297
675.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18496
683.0 IPS |
|
|
Text Classification (SP)
|
100% |
2319
3.10 KIPS |
|
|
Text Classification (HP)
|
100% |
2391
3.19 KIPS |
|
|
Text Classification (Q)
|
93% |
2392
3.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2253
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3696
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4597
79.4 IPS |
