iPhone 14 Pro
Geekbench AI Score
3572
Single Precision Score
21809
Half Precision Score
25019
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 04:01 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 5.53 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1444
268.6 IPS |
|
|
Image Classification (HP)
|
100% |
10303
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
12593
2.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1444
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14055
227.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
18283
296.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
6965
8.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
95567
111.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
101415
118.9 IPS |
|
|
Object Detection (SP)
|
100% |
1599
126.8 IPS |
|
|
Object Detection (HP)
|
100% |
12952
1.03 KIPS |
|
|
Object Detection (Q)
|
91% |
15103
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
3177
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
31259
371.4 IPS |
|
|
Face Detection (Q)
|
100% |
39511
469.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6250
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75245
579.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
95438
746.2 IPS |
|
|
Style Transfer (SP)
|
100% |
18866
24.3 IPS |
|
|
Style Transfer (HP)
|
100% |
166983
214.7 IPS |
|
|
Style Transfer (Q)
|
96% |
176673
228.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4263
157.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
31063
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36520
1.35 KIPS |
|
|
Text Classification (SP)
|
100% |
2667
3.56 KIPS |
|
|
Text Classification (HP)
|
100% |
2009
2.68 KIPS |
|
|
Text Classification (Q)
|
93% |
1873
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3426
59.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5543
95.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5980
103.3 IPS |
