iPhone 12 Pro
Geekbench AI Score
2723
Single Precision Score
4698
Half Precision Score
3873
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | MrDaniel |
| Upload Date | December 16 2025 05:33 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
1278
237.6 IPS |
|
|
Image Classification (HP)
|
100% |
1950
362.6 IPS |
|
|
Image Classification (Q)
|
96% |
1378
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1142
18.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1739
28.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2164
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5453
6.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
10969
12.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
9677
11.3 IPS |
|
|
Object Detection (SP)
|
100% |
1283
101.8 IPS |
|
|
Object Detection (HP)
|
97% |
2200
175.2 IPS |
|
|
Object Detection (Q)
|
94% |
1609
128.2 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (Q)
|
100% |
2720
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4765
36.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
9183
71.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6486
50.7 IPS |
|
|
Style Transfer (SP)
|
100% |
13246
17.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22290
28.7 IPS |
|
|
Style Transfer (Q)
|
96% |
19109
24.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2745
101.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4356
160.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3169
117.0 IPS |
|
|
Text Classification (SP)
|
100% |
2140
2.86 KIPS |
|
|
Text Classification (HP)
|
100% |
3734
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3720
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2302
39.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4124
71.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4116
71.1 IPS |
