iPhone 16 Pro
Geekbench AI Score
4664
Single Precision Score
7878
Half Precision Score
6248
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | April 08 2025 09:11 AM |
| Views | 1 |
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% |
2074
385.7 IPS |
|
|
Image Classification (HP)
|
100% |
3413
634.7 IPS |
|
|
Image Classification (Q)
|
96% |
2288
427.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2008
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2872
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3338
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9432
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18626
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15525
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
2336
185.3 IPS |
|
|
Object Detection (HP)
|
97% |
3818
304.0 IPS |
|
|
Object Detection (Q)
|
94% |
2659
211.9 IPS |
|
|
Face Detection (SP)
|
100% |
3969
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
7629
90.6 IPS |
|
|
Face Detection (Q)
|
100% |
4218
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8225
63.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14471
111.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10066
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
20628
26.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37632
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31183
40.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5470
202.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7320
270.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5082
187.7 IPS |
|
|
Text Classification (SP)
|
100% |
3371
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
5973
7.97 KIPS |
|
|
Text Classification (Q)
|
93% |
5904
7.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
4277
73.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7274
125.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7247
125.2 IPS |
