iPhone 12
Geekbench AI Score
1197
Single Precision Score
1747
Half Precision Score
1508
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 04:02 PM |
| Views | 5 |
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% |
519
96.5 IPS |
|
|
Image Classification (HP)
|
100% |
650
121.0 IPS |
|
|
Image Classification (Q)
|
96% |
500
93.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
536
8.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
490
7.94 IPS |
|
|
Image Segmentation (Q)
|
99% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2425
2.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
5689
6.64 IPS |
|
|
Pose Estimation (Q)
|
95% |
4879
5.72 IPS |
|
|
Object Detection (SP)
|
100% |
532
42.2 IPS |
|
|
Object Detection (HP)
|
97% |
755
60.1 IPS |
|
|
Object Detection (Q)
|
94% |
599
47.7 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1651
19.6 IPS |
|
|
Face Detection (Q)
|
100% |
1084
12.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2026
15.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
3238
25.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
2395
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6424
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
10073
12.9 IPS |
|
|
Style Transfer (Q)
|
96% |
8650
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1439
53.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1921
70.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1433
52.9 IPS |
|
|
Text Classification (SP)
|
100% |
992
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1456
1.94 KIPS |
|
|
Text Classification (Q)
|
93% |
1441
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
796
13.7 IPS |
|
|
Machine Translation (HP)
|
98% |
1286
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1281
22.1 IPS |
