iPhone 14 Pro
Geekbench AI Score
2426
Single Precision Score
12798
Half Precision Score
14976
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | October 07 2024 07:19 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.6.1 |
| Model | iPhone 14 Pro |
| Model ID | iPhone15,2 |
| Motherboard | D73AP |
| CPU Information | |
|---|---|
| Name | Apple A16 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1251
232.7 IPS |
|
|
Image Classification (HP)
|
100% |
5756
1.07 KIPS |
|
|
Image Classification (Q)
|
97% |
6277
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
751
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5060
82.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9453
153.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6569
7.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
77862
90.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
87089
102.1 IPS |
|
|
Object Detection (SP)
|
100% |
1339
106.2 IPS |
|
|
Object Detection (HP)
|
100% |
7273
576.9 IPS |
|
|
Object Detection (Q)
|
93% |
8356
666.7 IPS |
|
|
Face Detection (SP)
|
100% |
2308
27.4 IPS |
|
|
Face Detection (HP)
|
100% |
11000
130.7 IPS |
|
|
Face Detection (Q)
|
100% |
13029
154.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4222
32.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
44046
339.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
52395
409.6 IPS |
|
|
Style Transfer (SP)
|
100% |
11495
14.8 IPS |
|
|
Style Transfer (HP)
|
100% |
120801
155.3 IPS |
|
|
Style Transfer (Q)
|
96% |
115076
148.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3376
124.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16195
598.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21629
798.7 IPS |
|
|
Text Classification (SP)
|
100% |
1374
1.83 KIPS |
|
|
Text Classification (HP)
|
100% |
3178
4.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3263
4.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
1650
28.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2374
40.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2371
41.0 IPS |
