iPhone 16 Pro
Geekbench AI Score
4684
Single Precision Score
7881
Half Precision Score
6287
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | March 23 2025 02:17 PM |
| Views | 2 |
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% |
2011
374.1 IPS |
|
|
Image Classification (HP)
|
100% |
3368
626.3 IPS |
|
|
Image Classification (Q)
|
96% |
2271
424.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1950
31.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3379
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9666
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19150
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16346
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2233
177.1 IPS |
|
|
Object Detection (HP)
|
97% |
3861
307.4 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
3764
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
7763
92.2 IPS |
|
|
Face Detection (Q)
|
100% |
4319
51.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8147
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14627
113.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10160
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
25208
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
38073
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31324
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5810
214.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6983
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5002
184.7 IPS |
|
|
Text Classification (SP)
|
100% |
3438
4.59 KIPS |
|
|
Text Classification (HP)
|
100% |
5859
7.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
3892
67.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7145
123.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7115
123.0 IPS |
