iPhone 12 Pro
Geekbench AI Score
2746
Single Precision Score
4639
Half Precision Score
3815
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 25 2024 10:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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% |
1270
236.2 IPS |
|
|
Image Classification (HP)
|
100% |
1927
358.4 IPS |
|
|
Image Classification (Q)
|
96% |
1367
255.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2190
35.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
5363
6.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
10778
12.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9495
11.1 IPS |
|
|
Object Detection (SP)
|
100% |
1318
104.6 IPS |
|
|
Object Detection (HP)
|
97% |
2197
174.9 IPS |
|
|
Object Detection (Q)
|
94% |
1599
127.5 IPS |
|
|
Face Detection (SP)
|
100% |
2563
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
4769
56.7 IPS |
|
|
Face Detection (Q)
|
100% |
2725
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
4808
37.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
9472
73.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
6632
51.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13174
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21795
28.0 IPS |
|
|
Style Transfer (Q)
|
96% |
18626
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2847
105.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4160
153.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3043
112.3 IPS |
|
|
Text Classification (SP)
|
100% |
2150
2.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3729
4.98 KIPS |
|
|
Text Classification (Q)
|
93% |
3716
4.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
2334
40.2 IPS |
|
|
Machine Translation (HP)
|
98% |
3684
63.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3778
65.3 IPS |
