iPhone 16 Pro
Geekbench AI Score
5742
Single Precision Score
6911
Half Precision Score
5702
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 22 2024 08:34 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPhone 16 Pro |
| Model ID | iPhone17,1 |
| Motherboard | D93AP |
| CPU Information | |
|---|---|
| Name | Apple A18 Pro |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2891
537.7 IPS |
|
|
Image Classification (HP)
|
100% |
2525
469.6 IPS |
|
|
Image Classification (Q)
|
97% |
1830
341.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2519
40.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
4356
70.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3054
49.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
14170
16.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
14910
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13295
15.6 IPS |
|
|
Object Detection (SP)
|
100% |
3203
254.0 IPS |
|
|
Object Detection (HP)
|
100% |
3407
270.2 IPS |
|
|
Object Detection (Q)
|
91% |
2888
230.8 IPS |
|
|
Face Detection (SP)
|
100% |
8224
97.7 IPS |
|
|
Face Detection (HP)
|
100% |
10983
130.5 IPS |
|
|
Face Detection (Q)
|
100% |
7701
91.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13853
106.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
15204
117.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
12577
98.3 IPS |
|
|
Style Transfer (SP)
|
100% |
32445
41.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37867
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
37019
47.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8043
297.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8444
311.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6777
250.3 IPS |
|
|
Text Classification (SP)
|
100% |
3413
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5867
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5842
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1162
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1421
24.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1193
20.6 IPS |
