iPhone 16 Pro
Geekbench AI Score
4610
Single Precision Score
7835
Half Precision Score
6199
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 14 2025 12:15 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2065
384.1 IPS |
|
|
Image Classification (HP)
|
100% |
3407
633.6 IPS |
|
|
Image Classification (Q)
|
96% |
2278
425.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1990
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2874
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3354
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9124
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
17877
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15286
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2335
185.2 IPS |
|
|
Object Detection (HP)
|
97% |
3838
305.5 IPS |
|
|
Object Detection (Q)
|
94% |
2654
211.5 IPS |
|
|
Face Detection (SP)
|
100% |
3943
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7580
90.1 IPS |
|
|
Face Detection (Q)
|
100% |
4158
49.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8087
62.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14315
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9769
76.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19954
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37438
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30503
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7316
270.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5008
184.9 IPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5855
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
5833
7.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (HP)
|
98% |
7457
128.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7476
129.2 IPS |
