iPhone 16 Pro
Geekbench AI Score
4458
Single Precision Score
7678
Half Precision Score
6125
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | January 12 2025 11:25 AM |
| Views | 2 |
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% |
2011
374.0 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.5 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1942
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2927
47.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3360
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8398
9.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
17568
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
15104
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.0 IPS |
|
|
Object Detection (HP)
|
97% |
3786
301.4 IPS |
|
|
Object Detection (Q)
|
94% |
2661
212.1 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
7467
88.7 IPS |
|
|
Face Detection (Q)
|
100% |
4167
49.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7539
58.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14026
108.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9675
75.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23307
30.0 IPS |
|
|
Style Transfer (HP)
|
100% |
36665
47.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30269
39.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5371
198.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6693
247.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4842
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3462
4.62 KIPS |
|
|
Text Classification (HP)
|
100% |
6098
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
5899
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
3749
64.6 IPS |
|
|
Machine Translation (HP)
|
98% |
6943
120.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6956
120.2 IPS |
