iPhone 16 Pro
Geekbench AI Score
6241
Single Precision Score
7147
Half Precision Score
6817
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Vinpeom |
| Upload Date | May 14 2025 12:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3084
573.5 IPS |
|
|
Image Classification (HP)
|
100% |
2712
504.3 IPS |
|
|
Image Classification (Q)
|
96% |
3101
579.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
4466
72.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4939
80.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4751
77.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
15713
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17267
20.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
16922
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
3382
268.3 IPS |
|
|
Object Detection (HP)
|
100% |
3686
292.4 IPS |
|
|
Object Detection (Q)
|
92% |
3186
254.3 IPS |
|
|
Face Detection (SP)
|
100% |
7851
93.3 IPS |
|
|
Face Detection (HP)
|
100% |
10820
128.6 IPS |
|
|
Face Detection (Q)
|
100% |
8654
102.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
13628
105.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
15040
115.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
14039
109.7 IPS |
|
|
Style Transfer (SP)
|
100% |
33268
42.8 IPS |
|
|
Style Transfer (HP)
|
100% |
40684
52.3 IPS |
|
|
Style Transfer (Q)
|
96% |
39007
50.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8097
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8171
301.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7611
281.0 IPS |
|
|
Text Classification (SP)
|
100% |
3406
4.55 KIPS |
|
|
Text Classification (HP)
|
100% |
5863
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5840
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
1249
21.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1297
22.4 IPS |
