iPhone 12 Pro
Geekbench AI Score
2106
Single Precision Score
3369
Half Precision Score
3033
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 06 2025 08:00 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
685
127.5 IPS |
|
|
Image Classification (HP)
|
100% |
1106
205.7 IPS |
|
|
Image Classification (Q)
|
96% |
781
145.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
959
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1110
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3175
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
6716
7.84 IPS |
|
|
Pose Estimation (Q)
|
95% |
8789
10.3 IPS |
|
|
Object Detection (SP)
|
100% |
976
77.4 IPS |
|
|
Object Detection (HP)
|
97% |
1329
105.8 IPS |
|
|
Object Detection (Q)
|
94% |
1432
114.2 IPS |
|
|
Face Detection (SP)
|
100% |
2437
29.0 IPS |
|
|
Face Detection (HP)
|
100% |
4409
52.4 IPS |
|
|
Face Detection (Q)
|
100% |
1648
19.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3983
30.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
5410
41.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
5973
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11667
15.0 IPS |
|
|
Style Transfer (HP)
|
100% |
17843
22.9 IPS |
|
|
Style Transfer (Q)
|
96% |
17075
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2422
89.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3281
121.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2701
99.7 IPS |
|
|
Text Classification (SP)
|
100% |
1360
1.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (Q)
|
93% |
3425
4.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2266
39.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4076
70.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3892
67.3 IPS |
