iPhone 16 Pro
Geekbench AI Score
4771
Single Precision Score
31556
Half Precision Score
43620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | May 28 2025 11:22 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2098
390.2 IPS |
|
|
Image Classification (HP)
|
100% |
15087
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
20633
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2067
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18303
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24118
391.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9739
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152977
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
291970
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2381
188.8 IPS |
|
|
Object Detection (HP)
|
100% |
16135
1.28 KIPS |
|
|
Object Detection (Q)
|
91% |
22458
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
4010
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
41240
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
57475
682.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8308
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94938
731.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159091
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
21564
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244313
314.1 IPS |
|
|
Style Transfer (Q)
|
96% |
301948
389.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5838
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50738
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83644
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
100% |
2943
3.93 KIPS |
|
|
Text Classification (Q)
|
93% |
3075
4.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4311
74.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10058
173.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10763
186.0 IPS |
