iPhone 16 Pro
Geekbench AI Score
4786
Single Precision Score
32964
Half Precision Score
44929
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | June 14 2025 08:16 AM |
| Views | 3 |
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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
15170
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
19514
3.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18330
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24096
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9841
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153294
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
292773
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
16334
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22304
1.78 KIPS |
|
|
Face Detection (SP)
|
100% |
4055
48.2 IPS |
|
|
Face Detection (HP)
|
100% |
41240
490.0 IPS |
|
|
Face Detection (Q)
|
100% |
56890
676.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8478
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95059
732.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
159806
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22077
28.4 IPS |
|
|
Style Transfer (HP)
|
100% |
244666
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
302444
390.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5906
218.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50869
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84844
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3379
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4387
5.86 KIPS |
|
|
Text Classification (Q)
|
93% |
4150
5.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10166
175.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11277
194.9 IPS |
