iPhone 12
Geekbench AI Score
2601
Single Precision Score
4621
Half Precision Score
3844
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | TILR |
| Upload Date | September 25 2025 01:58 AM |
| Views | 5 |
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% |
1232
229.1 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1111
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1711
27.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2092
33.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4711
5.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
10240
11.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9108
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1160
92.0 IPS |
|
|
Object Detection (HP)
|
97% |
2186
174.0 IPS |
|
|
Object Detection (Q)
|
94% |
1598
127.4 IPS |
|
|
Face Detection (SP)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
4552
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
2576
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4481
34.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8854
68.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
6389
49.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12530
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21165
27.2 IPS |
|
|
Style Transfer (Q)
|
96% |
18666
24.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2647
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4038
149.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3179
117.4 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
99% |
3913
5.22 KIPS |
|
|
Text Classification (Q)
|
93% |
3886
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4252
73.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4206
72.7 IPS |
