iPhone 16 Pro
Geekbench AI Score
4447
Single Precision Score
7659
Half Precision Score
6082
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Mommel |
| Upload Date | March 29 2025 01:27 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.3.2 |
| 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% |
2046
380.4 IPS |
|
|
Image Classification (HP)
|
100% |
3366
626.0 IPS |
|
|
Image Classification (Q)
|
96% |
2266
423.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1946
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2945
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8614
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
17378
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14688
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2068
164.0 IPS |
|
|
Object Detection (HP)
|
97% |
3803
302.8 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3515
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
7451
88.5 IPS |
|
|
Face Detection (Q)
|
100% |
4083
48.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7423
57.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13748
106.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9419
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23129
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36179
46.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30119
38.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5432
200.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6893
254.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4926
181.9 IPS |
|
|
Text Classification (SP)
|
100% |
3423
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
5884
7.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5846
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3809
65.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7058
122.0 IPS |
|
|
Machine Translation (Q)
|
98% |
7030
121.5 IPS |
