iPhone 12
Geekbench AI Score
2607
Single Precision Score
4631
Half Precision Score
3870
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | March 16 2026 09:41 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.3.1 |
| 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% |
1221
227.1 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1453
271.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1107
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1712
27.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2155
34.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4775
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
10184
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9242
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1181
93.7 IPS |
|
|
Object Detection (HP)
|
97% |
2230
177.5 IPS |
|
|
Object Detection (Q)
|
94% |
1602
127.7 IPS |
|
|
Face Detection (SP)
|
100% |
2450
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (Q)
|
100% |
2635
31.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4513
34.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8857
68.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
6448
50.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12502
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21185
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18340
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4046
149.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3176
117.3 IPS |
|
|
Text Classification (SP)
|
100% |
2304
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3892
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2263
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4234
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4228
73.1 IPS |
