iPhone 12 Pro
Geekbench AI Score
2028
Single Precision Score
2232
Half Precision Score
2102
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:21 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
506
94.2 IPS |
|
|
Image Classification (HP)
|
100% |
368
68.4 IPS |
|
|
Image Classification (Q)
|
96% |
345
64.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1708
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
1685
27.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6158
7.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
9026
10.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
8214
9.63 IPS |
|
|
Object Detection (SP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (HP)
|
100% |
624
49.5 IPS |
|
|
Object Detection (Q)
|
92% |
645
51.5 IPS |
|
|
Face Detection (SP)
|
100% |
3345
39.7 IPS |
|
|
Face Detection (HP)
|
100% |
3597
42.7 IPS |
|
|
Face Detection (Q)
|
100% |
3149
37.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4231
32.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
5675
43.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
5211
40.7 IPS |
|
|
Style Transfer (SP)
|
100% |
12740
16.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13710
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
13174
17.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1581
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1341
49.5 IPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
99% |
3673
4.90 KIPS |
|
|
Text Classification (Q)
|
93% |
3657
4.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
496
8.55 IPS |
|
|
Machine Translation (HP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (Q)
|
98% |
516
8.91 IPS |
