iPhone 12
Geekbench AI Score
2725
Single Precision Score
4652
Half Precision Score
3858
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 06:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
1280
238.0 IPS |
|
|
Image Classification (HP)
|
100% |
1945
361.8 IPS |
|
|
Image Classification (Q)
|
96% |
1378
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2172
35.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5367
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
10905
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9680
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1295
102.7 IPS |
|
|
Object Detection (HP)
|
97% |
2187
174.1 IPS |
|
|
Object Detection (Q)
|
94% |
1607
128.1 IPS |
|
|
Face Detection (SP)
|
100% |
2572
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4641
55.1 IPS |
|
|
Face Detection (Q)
|
100% |
2703
32.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4757
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9008
69.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6434
50.3 IPS |
|
|
Style Transfer (SP)
|
100% |
13068
16.8 IPS |
|
|
Style Transfer (HP)
|
100% |
22395
28.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19210
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2827
104.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4120
152.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3153
116.4 IPS |
|
|
Text Classification (SP)
|
100% |
2134
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3676
4.91 KIPS |
|
|
Text Classification (Q)
|
93% |
3627
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2302
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4134
71.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4117
71.1 IPS |
