iPhone 12
Geekbench AI Score
1674
Single Precision Score
1985
Half Precision Score
1815
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 01:43 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
333
62.0 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
96% |
307
57.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1385
22.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1713
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1688
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4200
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
7048
8.22 IPS |
|
|
Pose Estimation (Q)
|
94% |
5852
6.86 IPS |
|
|
Object Detection (SP)
|
100% |
690
54.7 IPS |
|
|
Object Detection (HP)
|
100% |
622
49.4 IPS |
|
|
Object Detection (Q)
|
92% |
578
46.2 IPS |
|
|
Face Detection (SP)
|
100% |
2897
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
3443
40.9 IPS |
|
|
Face Detection (Q)
|
100% |
2430
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3865
29.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4627
35.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
4180
32.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11354
14.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13692
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13333
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1532
56.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1464
54.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1387
51.2 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
99% |
2353
3.14 KIPS |
|
|
Text Classification (Q)
|
93% |
2341
3.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
487
8.40 IPS |
|
|
Machine Translation (HP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (Q)
|
98% |
505
8.73 IPS |
