iPhone 14 Pro
Geekbench AI Score
3285
Single Precision Score
4921
Half Precision Score
4091
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | furunos |
| Upload Date | August 18 2024 08:36 AM |
| Views | 14 |
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% |
1467
272.7 IPS |
|
|
Image Classification (HP)
|
100% |
1905
354.2 IPS |
|
|
Image Classification (Q)
|
99% |
1894
353.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1240
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1227
19.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
1227
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6326
7.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
14641
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12532
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1556
123.4 IPS |
|
|
Object Detection (HP)
|
97% |
2304
183.4 IPS |
|
|
Object Detection (Q)
|
94% |
1749
139.4 IPS |
|
|
Face Detection (SP)
|
100% |
2788
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2913
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5551
42.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8814
68.1 IPS |
|
|
Depth Estimation (Q)
|
96% |
4459
34.5 IPS |
|
|
Style Transfer (SP)
|
100% |
17715
22.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26968
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
27092
34.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3860
142.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4902
181.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3675
136.2 IPS |
|
|
Text Classification (SP)
|
100% |
2583
3.45 KIPS |
|
|
Text Classification (HP)
|
100% |
4405
5.88 KIPS |
|
|
Text Classification (Q)
|
93% |
4374
5.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
2997
51.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4510
77.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4565
78.9 IPS |
