iPhone 12 Pro
Geekbench AI Score
2724
Single Precision Score
4545
Half Precision Score
3776
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | NycDriipy |
| Upload Date | December 01 2024 01:48 PM |
| Views | 8 |
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% |
1252
232.8 IPS |
|
|
Image Classification (HP)
|
100% |
1919
356.9 IPS |
|
|
Image Classification (Q)
|
96% |
1363
254.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1146
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2205
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5519
6.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
10880
12.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
9526
11.2 IPS |
|
|
Object Detection (SP)
|
100% |
1309
103.8 IPS |
|
|
Object Detection (HP)
|
97% |
2197
174.9 IPS |
|
|
Object Detection (Q)
|
94% |
1581
126.1 IPS |
|
|
Face Detection (SP)
|
100% |
2548
30.3 IPS |
|
|
Face Detection (HP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (Q)
|
100% |
2663
31.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4773
36.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
9544
73.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
6584
51.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13162
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
21483
27.6 IPS |
|
|
Style Transfer (Q)
|
96% |
18450
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2832
104.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3967
146.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3018
111.5 IPS |
|
|
Text Classification (SP)
|
100% |
2114
2.82 KIPS |
|
|
Text Classification (HP)
|
100% |
3590
4.79 KIPS |
|
|
Text Classification (Q)
|
93% |
3566
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2270
39.1 IPS |
|
|
Machine Translation (HP)
|
98% |
3329
57.5 IPS |
|
|
Machine Translation (Q)
|
98% |
3745
64.7 IPS |
