iPhone 16 Pro
Geekbench AI Score
4456
Single Precision Score
7605
Half Precision Score
6034
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 13 2025 01:15 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2027
377.0 IPS |
|
|
Image Classification (HP)
|
100% |
3409
634.0 IPS |
|
|
Image Classification (Q)
|
96% |
2260
422.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1918
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2864
46.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3282
53.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8441
9.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
16852
19.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
14047
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
2259
179.2 IPS |
|
|
Object Detection (HP)
|
97% |
3760
299.3 IPS |
|
|
Object Detection (Q)
|
94% |
2598
207.1 IPS |
|
|
Face Detection (SP)
|
100% |
3870
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
7321
87.0 IPS |
|
|
Face Detection (Q)
|
100% |
4024
47.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
7833
60.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
13555
104.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
9460
73.8 IPS |
|
|
Style Transfer (SP)
|
100% |
19277
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
35985
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
29592
38.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7013
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5869
7.83 KIPS |
|
|
Text Classification (Q)
|
93% |
5872
7.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
4187
72.1 IPS |
|
|
Machine Translation (HP)
|
98% |
7122
123.1 IPS |
|
|
Machine Translation (Q)
|
98% |
7153
123.6 IPS |
