iPhone 12 Pro
Geekbench AI Score
2730
Single Precision Score
11850
Half Precision Score
12303
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 14 2025 04:03 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% |
1310
243.7 IPS |
|
|
Image Classification (HP)
|
100% |
4583
852.2 IPS |
|
|
Image Classification (Q)
|
96% |
4840
903.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1148
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
7922
128.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8553
138.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5032
5.87 IPS |
|
|
Pose Estimation (HP)
|
100% |
59408
69.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
60482
70.9 IPS |
|
|
Object Detection (SP)
|
100% |
1282
101.7 IPS |
|
|
Object Detection (HP)
|
99% |
5630
447.9 IPS |
|
|
Object Detection (Q)
|
91% |
4905
391.9 IPS |
|
|
Face Detection (SP)
|
100% |
2545
30.2 IPS |
|
|
Face Detection (HP)
|
100% |
11685
138.8 IPS |
|
|
Face Detection (Q)
|
100% |
10359
123.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4715
36.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
36799
283.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
39431
308.1 IPS |
|
|
Style Transfer (SP)
|
100% |
13137
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94858
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
91020
117.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2843
105.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16973
626.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17693
653.3 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
2296
3.06 KIPS |
|
|
Text Classification (Q)
|
93% |
2402
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2353
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2829
48.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4096
70.8 IPS |
