iPhone 12
Geekbench AI Score
2666
Single Precision Score
12456
Half Precision Score
12305
Quantized Score
Geekbench AI 1.7.0 for iOS AArch64
Result Information
| User | CatCat |
| Upload Date | March 16 2026 09:50 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1212
225.4 IPS |
|
|
Image Classification (HP)
|
100% |
4539
844.0 IPS |
|
|
Image Classification (Q)
|
96% |
4698
877.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1115
18.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
7891
127.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8544
138.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4964
5.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
61356
71.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60563
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
99% |
5735
456.2 IPS |
|
|
Object Detection (Q)
|
91% |
5162
412.5 IPS |
|
|
Face Detection (SP)
|
100% |
2564
30.5 IPS |
|
|
Face Detection (HP)
|
100% |
12106
143.9 IPS |
|
|
Face Detection (Q)
|
100% |
10351
123.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
4703
36.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37682
290.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
35538
277.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12940
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
100446
129.1 IPS |
|
|
Style Transfer (Q)
|
96% |
95749
123.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2725
100.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18358
677.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18413
679.9 IPS |
|
|
Text Classification (SP)
|
100% |
2309
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
2307
3.08 KIPS |
|
|
Text Classification (Q)
|
93% |
2305
3.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3677
63.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4244
73.3 IPS |
