iPhone 16 Pro
Geekbench AI Score
4761
Single Precision Score
33384
Half Precision Score
46245
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | May 31 2025 08:53 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2094
389.4 IPS |
|
|
Image Classification (HP)
|
100% |
15180
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20147
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2005
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18424
298.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24121
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9694
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153590
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292295
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16433
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22747
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4025
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
41183
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
57744
686.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8386
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
96158
740.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164982
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
21719
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245421
315.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302282
390.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5853
216.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52028
1.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84738
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
4715
6.29 KIPS |
|
|
Text Classification (Q)
|
93% |
4971
6.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4297
74.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10219
176.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11415
197.3 IPS |
