iPhone 12
Geekbench AI Score
2702
Single Precision Score
4728
Half Precision Score
3960
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:31 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1203
223.8 IPS |
|
|
Image Classification (HP)
|
100% |
1970
366.3 IPS |
|
|
Image Classification (Q)
|
96% |
1413
263.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1089
17.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1673
27.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2187
35.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
5310
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
11351
13.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
10081
11.8 IPS |
|
|
Object Detection (SP)
|
100% |
1234
97.9 IPS |
|
|
Object Detection (HP)
|
97% |
2207
175.7 IPS |
|
|
Object Detection (Q)
|
94% |
1638
130.6 IPS |
|
|
Face Detection (SP)
|
100% |
2543
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
4724
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2709
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4813
37.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
9207
71.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6668
52.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13702
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
23192
29.8 IPS |
|
|
Style Transfer (Q)
|
96% |
19822
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2811
103.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4126
152.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3209
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
2284
3.05 KIPS |
|
|
Text Classification (HP)
|
99% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3818
5.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
98% |
4234
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4241
73.3 IPS |
