iPhone 16 Pro
Geekbench AI Score
4405
Single Precision Score
7613
Half Precision Score
6099
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Jfreshh330 |
| Upload Date | December 04 2024 06:20 PM |
| Views | 8 |
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% |
1964
365.2 IPS |
|
|
Image Classification (HP)
|
100% |
3308
615.2 IPS |
|
|
Image Classification (Q)
|
96% |
2258
421.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1921
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2910
47.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3292
53.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8224
9.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
17150
20.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14895
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
2041
161.9 IPS |
|
|
Object Detection (HP)
|
97% |
3764
299.7 IPS |
|
|
Object Detection (Q)
|
94% |
2625
209.2 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
7389
87.8 IPS |
|
|
Face Detection (Q)
|
100% |
4133
49.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7497
57.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13732
106.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9524
74.3 IPS |
|
|
Style Transfer (SP)
|
100% |
23364
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36768
47.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30017
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5452
201.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6901
254.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4937
182.3 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5933
7.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
3746
64.5 IPS |
|
|
Machine Translation (HP)
|
98% |
6987
120.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7088
122.5 IPS |
