iPhone 14 Pro
Geekbench AI Score
3902
Single Precision Score
4288
Half Precision Score
3745
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| User | carefree_boy |
| Upload Date | November 26 2024 03:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
1663
309.2 IPS |
|
|
Image Classification (HP)
|
100% |
1559
290.0 IPS |
|
|
Image Classification (Q)
|
97% |
1435
267.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2359
38.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2532
41.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2507
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11720
13.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
12329
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11413
13.4 IPS |
|
|
Object Detection (SP)
|
100% |
1941
154.0 IPS |
|
|
Object Detection (HP)
|
100% |
1871
148.4 IPS |
|
|
Object Detection (Q)
|
91% |
1570
125.5 IPS |
|
|
Face Detection (SP)
|
100% |
5078
60.3 IPS |
|
|
Face Detection (HP)
|
100% |
6061
72.0 IPS |
|
|
Face Detection (Q)
|
100% |
4101
48.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8445
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
8785
67.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7178
56.1 IPS |
|
|
Style Transfer (SP)
|
100% |
21213
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
23826
30.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22251
28.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4791
176.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4848
179.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3755
138.6 IPS |
|
|
Text Classification (SP)
|
100% |
2622
3.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4667
6.23 KIPS |
|
|
Text Classification (Q)
|
93% |
4658
6.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (HP)
|
100% |
805
13.9 IPS |
|
|
Machine Translation (Q)
|
98% |
735
12.7 IPS |
