iPhone 12
Geekbench AI Score
1638
Single Precision Score
8665
Half Precision Score
8610
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 12:27 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
2874
534.4 IPS |
|
|
Image Classification (Q)
|
96% |
3033
566.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4969
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
5291
85.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3034
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
37088
43.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
36898
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
663
52.6 IPS |
|
|
Object Detection (HP)
|
99% |
3624
288.3 IPS |
|
|
Object Detection (Q)
|
91% |
3217
257.0 IPS |
|
|
Face Detection (SP)
|
100% |
1632
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
7178
85.3 IPS |
|
|
Face Detection (Q)
|
100% |
6651
79.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2683
20.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
24578
189.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
23776
185.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8537
11.0 IPS |
|
|
Style Transfer (HP)
|
100% |
66798
85.9 IPS |
|
|
Style Transfer (Q)
|
96% |
64471
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1948
71.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13552
500.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13688
505.4 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
2118
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2125
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
1396
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3676
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3967
68.6 IPS |
