iPhone 14 Pro
Geekbench AI Score
3253
Single Precision Score
4898
Half Precision Score
4236
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | Hogehoge |
| Upload Date | September 09 2024 07:47 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
1469
273.3 IPS |
|
|
Image Classification (HP)
|
100% |
1920
357.0 IPS |
|
|
Image Classification (Q)
|
96% |
1487
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1260
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1249
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1868
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
6244
7.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
14663
17.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12464
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1558
123.6 IPS |
|
|
Object Detection (HP)
|
97% |
2268
180.5 IPS |
|
|
Object Detection (Q)
|
94% |
1738
138.5 IPS |
|
|
Face Detection (SP)
|
100% |
2777
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4510
53.6 IPS |
|
|
Face Detection (Q)
|
100% |
2890
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5447
42.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
8662
67.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
6529
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17495
22.5 IPS |
|
|
Style Transfer (HP)
|
100% |
26639
34.2 IPS |
|
|
Style Transfer (Q)
|
96% |
22537
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4855
179.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3698
136.6 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4348
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2801
48.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4525
78.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4522
78.1 IPS |
