iPhone 12
Geekbench AI Score
2496
Single Precision Score
4412
Half Precision Score
3597
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 10 2025 05:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
1280
238.1 IPS |
|
|
Image Classification (HP)
|
100% |
1934
359.7 IPS |
|
|
Image Classification (Q)
|
96% |
1376
257.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1117
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1652
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1837
29.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3858
4.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
10010
11.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9314
10.9 IPS |
|
|
Object Detection (SP)
|
100% |
1156
91.7 IPS |
|
|
Object Detection (HP)
|
97% |
2052
163.4 IPS |
|
|
Object Detection (Q)
|
94% |
1451
115.7 IPS |
|
|
Face Detection (SP)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (HP)
|
100% |
4304
51.1 IPS |
|
|
Face Detection (Q)
|
100% |
2417
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4425
34.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8363
64.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
6018
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12027
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20547
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17442
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2480
91.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4003
147.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2874
106.1 IPS |
|
|
Text Classification (SP)
|
100% |
2138
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3739
4.99 KIPS |
|
|
Text Classification (Q)
|
93% |
3718
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2223
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3848
66.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3925
67.8 IPS |
