iPhone 12 Pro
Geekbench AI Score
2610
Single Precision Score
12226
Half Precision Score
12290
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 08 2025 03:29 PM |
| 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 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% |
1226
228.0 IPS |
|
|
Image Classification (HP)
|
100% |
4206
782.1 IPS |
|
|
Image Classification (Q)
|
96% |
4827
901.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1125
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
8104
131.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8417
136.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4794
5.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
59317
69.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59949
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
1220
96.7 IPS |
|
|
Object Detection (HP)
|
99% |
5655
449.9 IPS |
|
|
Object Detection (Q)
|
91% |
5081
406.0 IPS |
|
|
Face Detection (SP)
|
100% |
2528
30.0 IPS |
|
|
Face Detection (HP)
|
100% |
12002
142.6 IPS |
|
|
Face Detection (Q)
|
100% |
10071
119.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4485
34.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
37064
285.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
34755
271.6 IPS |
|
|
Style Transfer (SP)
|
100% |
12157
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
97415
125.2 IPS |
|
|
Style Transfer (Q)
|
96% |
98914
127.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2545
94.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20039
739.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18759
692.7 IPS |
|
|
Text Classification (SP)
|
100% |
2292
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
2266
3.02 KIPS |
|
|
Text Classification (Q)
|
93% |
2414
3.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
2264
39.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3318
57.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4054
70.1 IPS |
