iPhone 14 Pro
Geekbench AI Score
3553
Single Precision Score
6079
Half Precision Score
5325
Quantized Score
Geekbench AI 1.0.0 for iOS AArch64
Result Information
| User | miguelsan22 |
| Upload Date | August 17 2024 05:01 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A16 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1445
268.7 IPS |
|
|
Image Classification (HP)
|
100% |
2544
473.1 IPS |
|
|
Image Classification (Q)
|
99% |
2537
473.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1461
23.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2255
36.6 IPS |
|
|
Image Segmentation (Q)
|
100% |
2263
36.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
7043
8.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
14988
17.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
12908
15.1 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2935
233.6 IPS |
|
|
Object Detection (Q)
|
94% |
2072
165.2 IPS |
|
|
Face Detection (SP)
|
100% |
3107
36.9 IPS |
|
|
Face Detection (HP)
|
100% |
6098
72.5 IPS |
|
|
Face Detection (Q)
|
100% |
3495
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6344
48.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
12367
95.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
12320
95.3 IPS |
|
|
Style Transfer (SP)
|
100% |
18949
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
28176
36.2 IPS |
|
|
Style Transfer (Q)
|
100% |
28957
37.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4202
155.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4849
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3702
137.2 IPS |
|
|
Text Classification (SP)
|
100% |
2546
3.40 KIPS |
|
|
Text Classification (HP)
|
100% |
4554
6.08 KIPS |
|
|
Text Classification (Q)
|
93% |
4383
5.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3455
59.5 IPS |
|
|
Machine Translation (HP)
|
98% |
5821
100.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5909
102.1 IPS |
