iPhone 12
Geekbench AI Score
1642
Single Precision Score
8797
Half Precision Score
8641
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 19 2025 12:06 PM |
| Views | 9 |
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% |
651
121.0 IPS |
|
|
Image Classification (HP)
|
100% |
2868
533.4 IPS |
|
|
Image Classification (Q)
|
96% |
3042
568.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
745
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5053
81.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
5216
84.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3033
3.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
37161
43.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
37023
43.4 IPS |
|
|
Object Detection (SP)
|
100% |
696
55.2 IPS |
|
|
Object Detection (HP)
|
99% |
3603
286.7 IPS |
|
|
Object Detection (Q)
|
91% |
3219
257.2 IPS |
|
|
Face Detection (SP)
|
100% |
1639
19.5 IPS |
|
|
Face Detection (HP)
|
100% |
7112
84.5 IPS |
|
|
Face Detection (Q)
|
100% |
6781
80.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2653
20.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
24605
189.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
23591
184.3 IPS |
|
|
Style Transfer (SP)
|
100% |
8496
10.9 IPS |
|
|
Style Transfer (HP)
|
100% |
66648
85.7 IPS |
|
|
Style Transfer (Q)
|
96% |
64565
83.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1935
71.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15257
563.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13640
503.7 IPS |
|
|
Text Classification (SP)
|
100% |
1378
1.84 KIPS |
|
|
Text Classification (HP)
|
100% |
2147
2.87 KIPS |
|
|
Text Classification (Q)
|
93% |
2225
2.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3745
64.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3919
67.7 IPS |
