iPhone 12
Geekbench AI Score
1635
Single Precision Score
8655
Half Precision Score
8652
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 08:37 AM |
| Views | 3 |
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% |
660
122.7 IPS |
|
|
Image Classification (HP)
|
100% |
2852
530.4 IPS |
|
|
Image Classification (Q)
|
96% |
3030
565.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
736
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
4994
81.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
5241
85.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3045
3.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
37219
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
36882
43.2 IPS |
|
|
Object Detection (SP)
|
100% |
669
53.1 IPS |
|
|
Object Detection (HP)
|
99% |
3611
287.3 IPS |
|
|
Object Detection (Q)
|
91% |
3237
258.6 IPS |
|
|
Face Detection (SP)
|
100% |
1640
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
7098
84.3 IPS |
|
|
Face Detection (Q)
|
100% |
6732
80.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2624
20.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
24733
190.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
23796
186.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8502
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66630
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64615
83.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1950
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13528
499.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13850
511.4 IPS |
|
|
Text Classification (SP)
|
100% |
1365
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
2066
2.76 KIPS |
|
|
Text Classification (Q)
|
93% |
2157
2.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1417
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3773
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4010
69.3 IPS |
