iPhone 12
Geekbench AI Score
2607
Single Precision Score
4633
Half Precision Score
3856
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 16 2025 01:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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 | 3.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1228
228.3 IPS |
|
|
Image Classification (HP)
|
100% |
2023
376.2 IPS |
|
|
Image Classification (Q)
|
96% |
1455
271.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1735
28.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2185
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4844
5.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
10465
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9221
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1183
93.9 IPS |
|
|
Object Detection (HP)
|
97% |
2198
175.0 IPS |
|
|
Object Detection (Q)
|
94% |
1614
128.7 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4611
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
2594
30.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4555
35.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
8945
69.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6445
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12525
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20836
26.8 IPS |
|
|
Style Transfer (Q)
|
96% |
18172
23.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2561
94.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4010
148.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3109
114.8 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3872
5.17 KIPS |
|
|
Text Classification (Q)
|
93% |
3862
5.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
2241
38.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4231
73.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4219
72.9 IPS |
