iPhone 12
Geekbench AI Score
2652
Single Precision Score
4537
Half Precision Score
3749
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 11 2025 01:54 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
1284
238.9 IPS |
|
|
Image Classification (HP)
|
100% |
1937
360.1 IPS |
|
|
Image Classification (Q)
|
96% |
1384
258.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1132
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1743
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2109
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5130
5.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
10483
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9147
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1247
98.9 IPS |
|
|
Object Detection (HP)
|
97% |
2147
170.9 IPS |
|
|
Object Detection (Q)
|
94% |
1560
124.4 IPS |
|
|
Face Detection (SP)
|
100% |
2505
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
4455
52.9 IPS |
|
|
Face Detection (Q)
|
100% |
2580
30.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4537
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
8662
67.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6219
48.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12669
16.3 IPS |
|
|
Style Transfer (HP)
|
100% |
21271
27.3 IPS |
|
|
Style Transfer (Q)
|
96% |
18197
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2695
99.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4024
148.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3055
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2097
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
93% |
3605
4.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2280
39.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4102
70.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4106
71.0 IPS |
