iPhone 12
Geekbench AI Score
2401
Single Precision Score
3685
Half Precision Score
3238
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | gamer_321 |
| Upload Date | April 06 2025 01:01 PM |
| Views | 6 |
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% |
1149
213.8 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.4 IPS |
|
|
Image Classification (Q)
|
96% |
1195
223.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1019
16.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
1514
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5128
5.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
10660
12.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9452
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1197
95.0 IPS |
|
|
Object Detection (HP)
|
97% |
1748
139.2 IPS |
|
|
Object Detection (Q)
|
94% |
1370
109.2 IPS |
|
|
Face Detection (SP)
|
100% |
1948
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (Q)
|
100% |
2260
26.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4429
34.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
7034
54.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
5400
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12553
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20806
26.7 IPS |
|
|
Style Transfer (Q)
|
96% |
18098
23.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2612
96.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3966
146.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3055
112.8 IPS |
|
|
Text Classification (SP)
|
100% |
2045
2.73 KIPS |
|
|
Text Classification (HP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
2902
3.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1573
27.1 IPS |
|
|
Machine Translation (HP)
|
98% |
2735
47.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2764
47.8 IPS |
