iPhone 12
Geekbench AI Score
2520
Single Precision Score
4477
Half Precision Score
3703
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Faust1977 |
| Upload Date | November 05 2025 09:16 PM |
| Views | 6 |
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% |
1225
227.9 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1450
270.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1098
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1684
27.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2085
33.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4636
5.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
9535
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
8382
9.82 IPS |
|
|
Object Detection (SP)
|
100% |
1060
84.1 IPS |
|
|
Object Detection (HP)
|
97% |
2083
165.9 IPS |
|
|
Object Detection (Q)
|
94% |
1535
122.3 IPS |
|
|
Face Detection (SP)
|
100% |
2350
27.9 IPS |
|
|
Face Detection (HP)
|
100% |
4178
49.6 IPS |
|
|
Face Detection (Q)
|
100% |
2436
28.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4327
33.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
8691
67.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
5993
46.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12044
15.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20547
26.4 IPS |
|
|
Style Transfer (Q)
|
96% |
17618
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2530
93.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2982
110.1 IPS |
|
|
Text Classification (SP)
|
100% |
2293
3.06 KIPS |
|
|
Text Classification (HP)
|
99% |
3854
5.14 KIPS |
|
|
Text Classification (Q)
|
93% |
3837
5.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
2200
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4189
72.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4246
73.4 IPS |
