iPhone 12
Geekbench AI Score
2488
Single Precision Score
4339
Half Precision Score
3539
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:21 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
1272
236.6 IPS |
|
|
Image Classification (HP)
|
100% |
1949
362.5 IPS |
|
|
Image Classification (Q)
|
96% |
1371
256.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1119
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
2018
32.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4686
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
9419
11.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
8349
9.79 IPS |
|
|
Object Detection (SP)
|
100% |
1180
93.6 IPS |
|
|
Object Detection (HP)
|
97% |
2083
165.9 IPS |
|
|
Object Detection (Q)
|
94% |
1464
116.7 IPS |
|
|
Face Detection (SP)
|
100% |
2406
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
4175
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
2332
27.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4142
31.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
7985
61.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
5685
44.4 IPS |
|
|
Style Transfer (SP)
|
100% |
11072
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
19825
25.5 IPS |
|
|
Style Transfer (Q)
|
96% |
17160
22.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2291
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3856
142.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2775
102.5 IPS |
|
|
Text Classification (SP)
|
100% |
2116
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3798
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3781
5.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2163
37.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3772
65.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3822
66.1 IPS |
