iPhone 12 Pro
Geekbench AI Score
1387
Single Precision Score
7734
Half Precision Score
7776
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 03:44 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% |
561
104.4 IPS |
|
|
Image Classification (HP)
|
100% |
2669
496.4 IPS |
|
|
Image Classification (Q)
|
96% |
2761
515.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
4374
70.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4692
76.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2710
3.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
33279
38.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
32937
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
590
46.8 IPS |
|
|
Object Detection (HP)
|
99% |
3252
258.7 IPS |
|
|
Object Detection (Q)
|
91% |
2972
237.5 IPS |
|
|
Face Detection (SP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (HP)
|
100% |
6365
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
6071
72.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2211
17.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
22244
171.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
21926
171.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7102
9.13 IPS |
|
|
Style Transfer (HP)
|
100% |
59752
76.8 IPS |
|
|
Style Transfer (Q)
|
96% |
58297
75.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1595
58.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11878
438.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
12205
450.7 IPS |
|
|
Text Classification (SP)
|
100% |
1071
1.43 KIPS |
|
|
Text Classification (HP)
|
100% |
1889
2.52 KIPS |
|
|
Text Classification (Q)
|
93% |
1999
2.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1245
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3196
55.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3368
58.2 IPS |
