iPhone 16 Pro
Geekbench AI Score
4598
Single Precision Score
7814
Half Precision Score
6227
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 03 2024 10:12 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.1.1 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2039
379.2 IPS |
|
|
Image Classification (HP)
|
100% |
3393
631.0 IPS |
|
|
Image Classification (Q)
|
96% |
2276
425.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2951
47.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3383
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9191
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
18465
21.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15773
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2150
170.5 IPS |
|
|
Object Detection (HP)
|
97% |
3841
305.8 IPS |
|
|
Object Detection (Q)
|
94% |
2692
214.6 IPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
7636
90.7 IPS |
|
|
Face Detection (Q)
|
100% |
4271
50.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7888
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14331
110.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9990
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24359
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
37729
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30817
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5675
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6892
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4961
183.2 IPS |
|
|
Text Classification (SP)
|
100% |
3425
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5819
7.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
3854
66.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7172
123.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7065
122.1 IPS |
