iPhone 12
Geekbench AI Score
2699
Single Precision Score
4710
Half Precision Score
3954
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:18 AM |
| 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% |
1210
225.0 IPS |
|
|
Image Classification (HP)
|
100% |
1980
368.3 IPS |
|
|
Image Classification (Q)
|
96% |
1418
264.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1099
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1662
26.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2202
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5321
6.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
11250
13.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9913
11.6 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
97% |
2204
175.4 IPS |
|
|
Object Detection (Q)
|
94% |
1636
130.4 IPS |
|
|
Face Detection (SP)
|
100% |
2530
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4699
55.8 IPS |
|
|
Face Detection (Q)
|
100% |
2714
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4823
37.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9256
71.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6648
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
13415
17.2 IPS |
|
|
Style Transfer (HP)
|
100% |
22884
29.4 IPS |
|
|
Style Transfer (Q)
|
96% |
19729
25.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2777
102.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4086
150.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3228
119.2 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3792
5.06 KIPS |
|
|
Text Classification (Q)
|
93% |
3767
5.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2276
39.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4273
73.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4264
73.7 IPS |
