iPhone 16 Pro
Geekbench AI Score
4604
Single Precision Score
7828
Half Precision Score
6221
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | melik_alexey |
| Upload Date | April 10 2025 03:23 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% |
2068
384.5 IPS |
|
|
Image Classification (HP)
|
100% |
3422
636.4 IPS |
|
|
Image Classification (Q)
|
96% |
2281
425.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1963
31.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2856
46.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3328
53.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8989
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17947
20.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15203
17.8 IPS |
|
|
Object Detection (SP)
|
100% |
2324
184.4 IPS |
|
|
Object Detection (HP)
|
97% |
3833
305.2 IPS |
|
|
Object Detection (Q)
|
94% |
2642
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3951
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
7568
89.9 IPS |
|
|
Face Detection (Q)
|
100% |
4185
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8134
62.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14321
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9858
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
19980
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37130
47.7 IPS |
|
|
Style Transfer (Q)
|
96% |
30336
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5309
196.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7300
269.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5137
189.7 IPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5892
7.86 KIPS |
|
|
Text Classification (Q)
|
93% |
5939
7.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4265
73.5 IPS |
|
|
Machine Translation (HP)
|
98% |
7430
128.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7461
128.9 IPS |
