iPhone 14 Pro
Geekbench AI Score
3221
Single Precision Score
4911
Half Precision Score
4056
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | skhannover |
| Upload Date | August 20 2024 05:00 PM |
| 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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
1901
353.5 IPS |
|
|
Image Classification (Q)
|
99% |
1899
354.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1248
20.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1224
19.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
1229
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6177
7.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
14747
17.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
12491
14.6 IPS |
|
|
Object Detection (SP)
|
100% |
1541
122.2 IPS |
|
|
Object Detection (HP)
|
97% |
2261
180.0 IPS |
|
|
Object Detection (Q)
|
94% |
1721
137.2 IPS |
|
|
Face Detection (SP)
|
100% |
2767
32.9 IPS |
|
|
Face Detection (HP)
|
100% |
4476
53.2 IPS |
|
|
Face Detection (Q)
|
100% |
2855
33.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5410
41.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
8746
67.6 IPS |
|
|
Depth Estimation (Q)
|
96% |
4357
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
17315
22.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26990
34.7 IPS |
|
|
Style Transfer (Q)
|
100% |
26957
34.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3798
140.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4928
182.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3641
134.9 IPS |
|
|
Text Classification (SP)
|
100% |
2618
3.49 KIPS |
|
|
Text Classification (HP)
|
100% |
4440
5.93 KIPS |
|
|
Text Classification (Q)
|
93% |
4351
5.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2695
46.4 IPS |
|
|
Machine Translation (HP)
|
98% |
4557
78.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4527
78.2 IPS |
