iPhone 16 Pro
Geekbench AI Score
4472
Single Precision Score
7705
Half Precision Score
6099
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | urix |
| Upload Date | February 21 2025 12:51 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.1 |
| 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 | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2038
378.9 IPS |
|
|
Image Classification (HP)
|
100% |
3395
631.4 IPS |
|
|
Image Classification (Q)
|
96% |
2265
422.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1959
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3364
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8654
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17655
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
14858
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
2129
168.9 IPS |
|
|
Object Detection (HP)
|
97% |
3794
302.0 IPS |
|
|
Object Detection (Q)
|
94% |
2645
210.8 IPS |
|
|
Face Detection (SP)
|
100% |
3554
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
7407
88.0 IPS |
|
|
Face Detection (Q)
|
100% |
4143
49.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7456
57.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
13997
108.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
9583
74.8 IPS |
|
|
Style Transfer (SP)
|
100% |
23358
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36932
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30384
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5395
199.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4842
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3416
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5827
7.78 KIPS |
|
|
Text Classification (Q)
|
93% |
5787
7.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3817
65.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7013
121.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7043
121.7 IPS |
