iPhone 12
Geekbench AI Score
1664
Single Precision Score
1989
Half Precision Score
1812
Quantized Score
Geekbench AI 1.6.1 for iOS AArch64
Result Information
| Upload Date | January 29 2026 05:23 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.2.1 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
367
68.2 IPS |
|
|
Image Classification (HP)
|
100% |
332
61.7 IPS |
|
|
Image Classification (Q)
|
96% |
313
58.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1406
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1734
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
1633
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4153
4.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
7011
8.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
5823
6.83 IPS |
|
|
Object Detection (SP)
|
100% |
662
52.5 IPS |
|
|
Object Detection (HP)
|
100% |
621
49.2 IPS |
|
|
Object Detection (Q)
|
92% |
601
48.0 IPS |
|
|
Face Detection (SP)
|
100% |
2856
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
3353
39.8 IPS |
|
|
Face Detection (Q)
|
100% |
2526
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3555
27.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4576
35.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
3968
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
11265
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
13743
17.7 IPS |
|
|
Style Transfer (Q)
|
96% |
13350
17.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1528
56.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1531
56.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1353
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
1340
1.79 KIPS |
|
|
Text Classification (HP)
|
99% |
2363
3.15 KIPS |
|
|
Text Classification (Q)
|
93% |
2352
3.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
490
8.44 IPS |
|
|
Machine Translation (HP)
|
100% |
507
8.73 IPS |
|
|
Machine Translation (Q)
|
98% |
503
8.69 IPS |
