iPhone 12 Pro
Geekbench AI Score
2706
Single Precision Score
12277
Half Precision Score
12025
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone 12 Pro |
| Model ID | iPhone13,3 |
| Motherboard | D53pAP |
| 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 | 5.58 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1286
239.2 IPS |
|
|
Image Classification (HP)
|
100% |
4648
864.4 IPS |
|
|
Image Classification (Q)
|
96% |
4819
899.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1161
18.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
8323
134.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
8539
138.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
59640
69.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
60058
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
1269
100.7 IPS |
|
|
Object Detection (HP)
|
99% |
5649
449.4 IPS |
|
|
Object Detection (Q)
|
91% |
4684
374.3 IPS |
|
|
Face Detection (SP)
|
100% |
2555
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
12061
143.3 IPS |
|
|
Face Detection (Q)
|
100% |
10132
120.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4632
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35957
277.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
34322
268.2 IPS |
|
|
Style Transfer (SP)
|
100% |
12897
16.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93239
119.9 IPS |
|
|
Style Transfer (Q)
|
96% |
90051
116.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2784
102.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17103
631.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17882
660.3 IPS |
|
|
Text Classification (SP)
|
100% |
2265
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
2368
3.16 KIPS |
|
|
Text Classification (Q)
|
93% |
2375
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
2357
40.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4107
71.0 IPS |
