iPhone 16 Pro
Geekbench AI Score
4707
Single Precision Score
7911
Half Precision Score
6311
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 12 2025 02:03 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2077
386.3 IPS |
|
|
Image Classification (HP)
|
100% |
3363
625.4 IPS |
|
|
Image Classification (Q)
|
96% |
2273
424.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2013
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2873
46.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3368
54.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9615
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19104
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16101
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2373
188.3 IPS |
|
|
Object Detection (HP)
|
97% |
3811
303.4 IPS |
|
|
Object Detection (Q)
|
94% |
2683
213.9 IPS |
|
|
Face Detection (SP)
|
100% |
3999
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
7649
90.9 IPS |
|
|
Face Detection (Q)
|
100% |
4239
50.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8331
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
14414
111.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10080
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21142
27.2 IPS |
|
|
Style Transfer (HP)
|
100% |
37968
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31284
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5474
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7355
271.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5194
191.8 IPS |
|
|
Text Classification (SP)
|
100% |
3383
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5847
7.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4298
74.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7452
128.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7472
129.1 IPS |
