iPhone 16 Pro
Geekbench AI Score
5876
Single Precision Score
6541
Half Precision Score
6195
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | touchstone |
| Upload Date | April 07 2025 12:10 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2937
546.2 IPS |
|
|
Image Classification (HP)
|
100% |
1749
325.3 IPS |
|
|
Image Classification (Q)
|
97% |
2617
488.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3515
57.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4437
71.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4389
71.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
15861
18.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
16483
19.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
15428
18.1 IPS |
|
|
Object Detection (SP)
|
100% |
3397
269.4 IPS |
|
|
Object Detection (HP)
|
100% |
3739
296.6 IPS |
|
|
Object Detection (Q)
|
91% |
2927
233.9 IPS |
|
|
Face Detection (SP)
|
100% |
8205
97.5 IPS |
|
|
Face Detection (HP)
|
100% |
10843
128.8 IPS |
|
|
Face Detection (Q)
|
100% |
7632
90.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
14075
108.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
15403
118.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
12308
96.2 IPS |
|
|
Style Transfer (SP)
|
100% |
32665
42.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38201
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
36319
46.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8083
298.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8523
314.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6794
250.9 IPS |
|
|
Text Classification (SP)
|
100% |
3418
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
5840
7.79 KIPS |
|
|
Text Classification (Q)
|
93% |
5947
7.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
945
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
1165
20.1 IPS |
