iPhone 12
Geekbench AI Score
1654
Single Precision Score
9073
Half Precision Score
8885
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 11:18 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
696
129.5 IPS |
|
|
Image Classification (HP)
|
100% |
3344
621.9 IPS |
|
|
Image Classification (Q)
|
96% |
3203
598.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5222
84.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5524
89.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2868
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
38269
44.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
37350
43.8 IPS |
|
|
Object Detection (SP)
|
100% |
729
57.9 IPS |
|
|
Object Detection (HP)
|
99% |
3775
300.3 IPS |
|
|
Object Detection (Q)
|
91% |
3362
268.6 IPS |
|
|
Face Detection (SP)
|
100% |
1635
19.4 IPS |
|
|
Face Detection (HP)
|
100% |
7783
92.5 IPS |
|
|
Face Detection (Q)
|
100% |
7252
86.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2862
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
25589
197.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
24561
191.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8700
11.2 IPS |
|
|
Style Transfer (HP)
|
100% |
69186
88.9 IPS |
|
|
Style Transfer (Q)
|
96% |
65904
85.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1949
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13573
501.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13813
510.1 IPS |
|
|
Text Classification (SP)
|
100% |
1380
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2122
2.83 KIPS |
|
|
Text Classification (Q)
|
93% |
2109
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3778
65.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4039
69.8 IPS |
