iPhone 12
Geekbench AI Score
1642
Single Precision Score
8684
Half Precision Score
8616
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 19 2025 10:04 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% |
656
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
2875
534.6 IPS |
|
|
Image Classification (Q)
|
96% |
3054
570.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5035
81.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
5190
84.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3053
3.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
37294
43.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
36862
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (HP)
|
99% |
3635
289.2 IPS |
|
|
Object Detection (Q)
|
91% |
3223
257.6 IPS |
|
|
Face Detection (SP)
|
100% |
1642
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
7144
84.9 IPS |
|
|
Face Detection (Q)
|
100% |
6734
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2614
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
24739
190.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
24019
187.7 IPS |
|
|
Style Transfer (SP)
|
100% |
8495
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66783
85.8 IPS |
|
|
Style Transfer (Q)
|
96% |
64507
83.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13556
500.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13753
507.8 IPS |
|
|
Text Classification (SP)
|
100% |
1377
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2095
2.80 KIPS |
|
|
Text Classification (Q)
|
93% |
2112
2.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
1425
24.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3711
63.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3951
68.3 IPS |
