iPhone 16 Pro
Geekbench AI Score
4677
Single Precision Score
32978
Half Precision Score
45246
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | ju83 |
| Upload Date | May 13 2025 02:21 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4.1 |
| 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% |
2084
387.6 IPS |
|
|
Image Classification (HP)
|
100% |
15305
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
19243
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1993
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18318
296.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24222
392.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9417
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152794
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
292325
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2349
186.3 IPS |
|
|
Object Detection (HP)
|
100% |
16264
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22592
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3971
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41195
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
57005
677.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8322
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95122
732.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159534
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20735
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244657
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
301949
389.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5535
204.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50950
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83811
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3375
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4469
5.96 KIPS |
|
|
Text Classification (Q)
|
93% |
4674
6.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4263
73.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10005
172.3 IPS |
|
|
Machine Translation (Q)
|
98% |
10860
187.7 IPS |
