iPhone 14 Pro
Geekbench AI Score
3536
Single Precision Score
22265
Half Precision Score
25199
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 05 2025 06:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1427
265.4 IPS |
|
|
Image Classification (HP)
|
100% |
9919
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
12518
2.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1435
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
14595
236.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
17886
289.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
7002
8.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
95801
111.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
101821
119.3 IPS |
|
|
Object Detection (SP)
|
100% |
1574
124.9 IPS |
|
|
Object Detection (HP)
|
100% |
12790
1.01 KIPS |
|
|
Object Detection (Q)
|
91% |
14855
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
3104
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
28925
343.7 IPS |
|
|
Face Detection (Q)
|
100% |
38722
460.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6099
47.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
74940
577.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
94744
740.8 IPS |
|
|
Style Transfer (SP)
|
100% |
18832
24.2 IPS |
|
|
Style Transfer (HP)
|
100% |
166876
214.5 IPS |
|
|
Style Transfer (Q)
|
96% |
168932
218.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4207
155.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
33256
1.23 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36618
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2627
3.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1996
2.66 KIPS |
|
|
Text Classification (Q)
|
93% |
1748
2.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7031
121.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7687
132.8 IPS |
