iPhone 12
Geekbench AI Score
2623
Single Precision Score
12455
Half Precision Score
12324
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 16 2025 09:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
1224
227.7 IPS |
|
|
Image Classification (HP)
|
100% |
4369
812.4 IPS |
|
|
Image Classification (Q)
|
96% |
4587
856.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1155
18.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8309
134.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
8744
141.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4667
5.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
60136
70.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
60593
71.0 IPS |
|
|
Object Detection (SP)
|
100% |
1223
97.0 IPS |
|
|
Object Detection (HP)
|
99% |
6246
496.9 IPS |
|
|
Object Detection (Q)
|
91% |
5474
437.4 IPS |
|
|
Face Detection (SP)
|
100% |
2524
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
11866
141.0 IPS |
|
|
Face Detection (Q)
|
100% |
10139
120.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4604
35.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36500
281.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
35632
278.4 IPS |
|
|
Style Transfer (SP)
|
100% |
12124
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
95168
122.3 IPS |
|
|
Style Transfer (Q)
|
96% |
91870
118.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2648
97.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17887
660.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17655
651.9 IPS |
|
|
Text Classification (SP)
|
100% |
2276
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
2396
3.20 KIPS |
|
|
Text Classification (Q)
|
93% |
2467
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
2256
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3731
64.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4205
72.7 IPS |
