iPhone 16 Pro
Geekbench AI Score
4547
Single Precision Score
7820
Half Precision Score
6183
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 06 2025 02:37 PM |
| Views | 1 |
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% |
2044
380.1 IPS |
|
|
Image Classification (HP)
|
100% |
3362
625.3 IPS |
|
|
Image Classification (Q)
|
96% |
2282
426.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3029
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3391
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8730
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18106
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15128
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2138
169.6 IPS |
|
|
Object Detection (HP)
|
97% |
3836
305.4 IPS |
|
|
Object Detection (Q)
|
94% |
2673
213.0 IPS |
|
|
Face Detection (SP)
|
100% |
3635
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
7587
90.2 IPS |
|
|
Face Detection (Q)
|
100% |
4241
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7632
58.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14137
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9728
75.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24077
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37592
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
30397
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5591
206.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7014
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4956
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3481
4.65 KIPS |
|
|
Text Classification (HP)
|
100% |
6010
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5989
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3831
66.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7117
123.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7013
121.2 IPS |
