iPhone 12 Pro
Geekbench AI Score
1801
Single Precision Score
10217
Half Precision Score
8755
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | buliaoyin |
| Upload Date | September 27 2024 07:41 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A14 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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 | 5.54 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
926
172.3 IPS |
|
|
Image Classification (HP)
|
100% |
4318
803.1 IPS |
|
|
Image Classification (Q)
|
96% |
4599
858.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
586
9.51 IPS |
|
|
Image Segmentation (HP)
|
100% |
3778
61.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
475
7.70 IPS |
|
|
Pose Estimation (SP)
|
100% |
4749
5.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
56711
66.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
59275
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
1009
80.0 IPS |
|
|
Object Detection (HP)
|
99% |
5256
418.1 IPS |
|
|
Object Detection (Q)
|
93% |
5387
429.8 IPS |
|
|
Face Detection (SP)
|
100% |
1667
19.8 IPS |
|
|
Face Detection (HP)
|
100% |
11340
134.7 IPS |
|
|
Face Detection (Q)
|
100% |
10534
125.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3162
24.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
34269
264.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
41819
326.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9063
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93155
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
98061
126.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2261
83.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14209
524.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17942
662.5 IPS |
|
|
Text Classification (SP)
|
100% |
1135
1.51 KIPS |
|
|
Text Classification (HP)
|
100% |
2545
3.40 KIPS |
|
|
Text Classification (Q)
|
93% |
2506
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1949
33.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1954
33.8 IPS |
