iPhone 14 Pro
Geekbench AI Score
3579
Single Precision Score
20307
Half Precision Score
22530
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 17 2024 03:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
1441
268.1 IPS |
|
|
Image Classification (HP)
|
100% |
10339
1.92 KIPS |
|
|
Image Classification (Q)
|
97% |
13112
2.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1443
23.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11579
187.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
13239
214.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
7060
8.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
97131
113.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102862
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
1587
125.9 IPS |
|
|
Object Detection (HP)
|
100% |
12903
1.02 KIPS |
|
|
Object Detection (Q)
|
91% |
14624
1.17 KIPS |
|
|
Face Detection (SP)
|
100% |
3141
37.3 IPS |
|
|
Face Detection (HP)
|
100% |
30120
357.9 IPS |
|
|
Face Detection (Q)
|
100% |
39314
467.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6257
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
75661
582.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
96131
751.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19032
24.5 IPS |
|
|
Style Transfer (HP)
|
100% |
171755
220.8 IPS |
|
|
Style Transfer (Q)
|
96% |
172690
222.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4327
159.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
32637
1.21 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37690
1.39 KIPS |
|
|
Text Classification (SP)
|
100% |
2641
3.53 KIPS |
|
|
Text Classification (HP)
|
100% |
2610
3.48 KIPS |
|
|
Text Classification (Q)
|
93% |
2213
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
3466
59.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2384
41.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2371
41.0 IPS |
