iPhone 14 Pro
Geekbench AI Score
3271
Single Precision Score
4936
Half Precision Score
4104
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | sfoskett |
| Upload Date | August 15 2024 07:17 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 17.5.1 |
| 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% |
1423
264.6 IPS |
|
|
Image Classification (HP)
|
100% |
1914
355.9 IPS |
|
|
Image Classification (Q)
|
99% |
1907
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1271
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6480
7.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
14885
17.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
12661
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1572
124.7 IPS |
|
|
Object Detection (HP)
|
97% |
2302
183.3 IPS |
|
|
Object Detection (Q)
|
94% |
1751
139.6 IPS |
|
|
Face Detection (SP)
|
100% |
2784
33.1 IPS |
|
|
Face Detection (HP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (Q)
|
100% |
2914
34.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5593
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8775
67.8 IPS |
|
|
Depth Estimation (Q)
|
96% |
4441
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
17971
23.1 IPS |
|
|
Style Transfer (HP)
|
100% |
27161
34.9 IPS |
|
|
Style Transfer (Q)
|
100% |
27345
35.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3937
145.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3710
137.4 IPS |
|
|
Text Classification (SP)
|
100% |
2577
3.44 KIPS |
|
|
Text Classification (HP)
|
100% |
4367
5.83 KIPS |
|
|
Text Classification (Q)
|
93% |
4402
5.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
2686
46.3 IPS |
|
|
Machine Translation (HP)
|
98% |
4557
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4532
78.3 IPS |
