iPhone 12
Geekbench AI Score
2389
Single Precision Score
3665
Half Precision Score
3214
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | May 17 2025 03:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.4.1 |
| 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 | 3.56 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1169
217.3 IPS |
|
|
Image Classification (HP)
|
100% |
1474
274.1 IPS |
|
|
Image Classification (Q)
|
96% |
1192
222.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1002
16.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1023
16.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
1509
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4898
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
10386
12.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9272
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1190
94.4 IPS |
|
|
Object Detection (HP)
|
97% |
1738
138.3 IPS |
|
|
Object Detection (Q)
|
94% |
1352
107.8 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
3494
41.5 IPS |
|
|
Face Detection (Q)
|
100% |
2243
26.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4389
33.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
7052
54.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
5413
42.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12430
16.0 IPS |
|
|
Style Transfer (HP)
|
100% |
20804
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
17836
23.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2597
95.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3913
144.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.4 IPS |
|
|
Text Classification (SP)
|
100% |
2047
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2923
3.90 KIPS |
|
|
Text Classification (Q)
|
93% |
2899
3.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1582
27.3 IPS |
|
|
Machine Translation (HP)
|
98% |
2744
47.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2732
47.2 IPS |
