iPhone 12
Geekbench AI Score
2447
Single Precision Score
4397
Half Precision Score
3656
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
1227
228.2 IPS |
|
|
Image Classification (HP)
|
100% |
2040
379.4 IPS |
|
|
Image Classification (Q)
|
96% |
1463
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1760
28.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2134
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4505
5.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
9276
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8371
9.81 IPS |
|
|
Object Detection (SP)
|
100% |
1084
86.0 IPS |
|
|
Object Detection (HP)
|
97% |
2091
166.4 IPS |
|
|
Object Detection (Q)
|
94% |
1488
118.6 IPS |
|
|
Face Detection (SP)
|
100% |
2312
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (Q)
|
100% |
2430
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4148
32.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8210
63.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
5789
45.3 IPS |
|
|
Style Transfer (SP)
|
100% |
10682
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18950
24.4 IPS |
|
|
Style Transfer (Q)
|
96% |
16766
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2278
84.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3711
137.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2894
106.9 IPS |
|
|
Text Classification (SP)
|
100% |
2272
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3906
5.21 KIPS |
|
|
Text Classification (Q)
|
93% |
3880
5.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4030
69.6 IPS |
|
|
Machine Translation (Q)
|
98% |
4151
71.7 IPS |
