iPhone 16 Pro
Geekbench AI Score
4557
Single Precision Score
7760
Half Precision Score
6214
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | mcolsen |
| Upload Date | December 17 2024 11:56 PM |
| Views | 4 |
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% |
2016
374.9 IPS |
|
|
Image Classification (HP)
|
100% |
3374
627.4 IPS |
|
|
Image Classification (Q)
|
96% |
2263
422.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1962
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9020
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18285
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15802
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2166
171.8 IPS |
|
|
Object Detection (HP)
|
97% |
3814
303.6 IPS |
|
|
Object Detection (Q)
|
94% |
2680
213.6 IPS |
|
|
Face Detection (SP)
|
100% |
3622
43.0 IPS |
|
|
Face Detection (HP)
|
100% |
7493
89.0 IPS |
|
|
Face Detection (Q)
|
100% |
4249
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7730
59.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14275
110.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9892
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24181
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37483
48.2 IPS |
|
|
Style Transfer (Q)
|
96% |
30996
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5644
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6960
257.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5839
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5838
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3826
65.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7062
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7056
121.9 IPS |
