iPhone 12 Pro
Geekbench AI Score
2638
Single Precision Score
4692
Half Precision Score
3931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 17 2025 08:01 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1223
227.4 IPS |
|
|
Image Classification (HP)
|
100% |
2022
376.1 IPS |
|
|
Image Classification (Q)
|
96% |
1446
270.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1130
18.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2195
35.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4885
5.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
10455
12.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
9217
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
1224
97.1 IPS |
|
|
Object Detection (HP)
|
97% |
2253
179.4 IPS |
|
|
Object Detection (Q)
|
94% |
1659
132.2 IPS |
|
|
Face Detection (SP)
|
100% |
2554
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4761
56.6 IPS |
|
|
Face Detection (Q)
|
100% |
2738
32.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4538
35.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9155
70.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6654
52.0 IPS |
|
|
Style Transfer (SP)
|
100% |
12535
16.1 IPS |
|
|
Style Transfer (HP)
|
100% |
21299
27.4 IPS |
|
|
Style Transfer (Q)
|
96% |
18825
24.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2627
97.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4062
150.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3218
118.8 IPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3886
5.19 KIPS |
|
|
Text Classification (Q)
|
93% |
3890
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2254
38.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4250
73.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4239
73.2 IPS |
