iPhone 12 Pro
Geekbench AI Score
2682
Single Precision Score
4546
Half Precision Score
3802
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | July 15 2025 10:59 AM |
| Views | 6 |
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% |
1287
239.4 IPS |
|
|
Image Classification (HP)
|
100% |
2018
375.4 IPS |
|
|
Image Classification (Q)
|
96% |
1397
260.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1062
17.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2096
34.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5219
6.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
10531
12.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
9114
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1278
101.4 IPS |
|
|
Object Detection (HP)
|
97% |
2245
178.8 IPS |
|
|
Object Detection (Q)
|
94% |
1664
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
2532
30.1 IPS |
|
|
Face Detection (HP)
|
100% |
4738
56.3 IPS |
|
|
Face Detection (Q)
|
100% |
2685
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4641
35.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
8923
69.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
6506
50.9 IPS |
|
|
Style Transfer (SP)
|
100% |
12868
16.5 IPS |
|
|
Style Transfer (HP)
|
100% |
21386
27.5 IPS |
|
|
Style Transfer (Q)
|
96% |
18515
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2688
99.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4048
149.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3166
116.9 IPS |
|
|
Text Classification (SP)
|
100% |
2247
3.00 KIPS |
|
|
Text Classification (HP)
|
99% |
3645
4.87 KIPS |
|
|
Text Classification (Q)
|
93% |
3625
4.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (HP)
|
98% |
4141
71.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3838
66.3 IPS |
