iPhone 16 Pro
Geekbench AI Score
4742
Single Precision Score
33349
Half Precision Score
46566
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| Upload Date | August 31 2025 12:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.6.2 |
| 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% |
2061
383.3 IPS |
|
|
Image Classification (HP)
|
100% |
15200
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
21846
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18351
297.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24182
392.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9822
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153727
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293248
343.7 IPS |
|
|
Object Detection (SP)
|
100% |
2390
189.6 IPS |
|
|
Object Detection (HP)
|
100% |
16292
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22765
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
3977
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40188
477.5 IPS |
|
|
Face Detection (Q)
|
100% |
58216
691.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8415
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95627
736.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
159979
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21200
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
247084
317.6 IPS |
|
|
Style Transfer (Q)
|
96% |
302217
390.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5745
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50765
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86444
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3394
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4887
6.52 KIPS |
|
|
Text Classification (Q)
|
93% |
4788
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4308
74.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10340
178.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11670
201.7 IPS |
