iPhone 16 Pro
Geekbench AI Score
4484
Single Precision Score
7708
Half Precision Score
6105
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | eahyndman3 |
| Upload Date | December 12 2024 01:09 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
3384
629.3 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1951
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2930
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8605
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
17719
20.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14866
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2111
167.4 IPS |
|
|
Object Detection (HP)
|
97% |
3785
301.3 IPS |
|
|
Object Detection (Q)
|
94% |
2581
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3611
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
7514
89.3 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7603
58.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13835
106.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
9610
75.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23629
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
36407
46.8 IPS |
|
|
Style Transfer (Q)
|
96% |
29807
38.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5390
199.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7015
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4903
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
100% |
5918
7.90 KIPS |
|
|
Text Classification (Q)
|
93% |
5874
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3841
66.2 IPS |
|
|
Machine Translation (HP)
|
98% |
7087
122.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7057
122.0 IPS |
