iPhone 12
Geekbench AI Score
1848
Single Precision Score
2006
Half Precision Score
1902
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 01:10 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 3.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
340
63.3 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.3 IPS |
|
|
Image Classification (Q)
|
96% |
321
59.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1632
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1873
30.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1631
26.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6082
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
6029
7.03 IPS |
|
|
Pose Estimation (Q)
|
94% |
5265
6.17 IPS |
|
|
Object Detection (SP)
|
100% |
587
46.5 IPS |
|
|
Object Detection (HP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (Q)
|
92% |
580
46.3 IPS |
|
|
Face Detection (SP)
|
100% |
3234
38.4 IPS |
|
|
Face Detection (HP)
|
100% |
3355
39.9 IPS |
|
|
Face Detection (Q)
|
100% |
3112
37.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4111
31.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5089
39.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
5104
39.9 IPS |
|
|
Style Transfer (SP)
|
100% |
11245
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
10182
13.1 IPS |
|
|
Style Transfer (Q)
|
96% |
8777
11.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1453
53.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1498
55.3 IPS |
|
|
Text Classification (SP)
|
100% |
2136
2.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3612
4.82 KIPS |
|
|
Text Classification (Q)
|
93% |
3639
4.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
507
8.74 IPS |
|
|
Machine Translation (HP)
|
100% |
512
8.82 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.81 IPS |
