iPhone 16 Pro
Geekbench AI Score
4779
Single Precision Score
33386
Half Precision Score
45855
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:29 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.7.2 |
| 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% |
2081
387.0 IPS |
|
|
Image Classification (HP)
|
100% |
15204
2.83 KIPS |
|
|
Image Classification (Q)
|
97% |
20144
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2007
32.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
18305
296.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24125
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9847
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153813
179.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
292854
343.2 IPS |
|
|
Object Detection (SP)
|
100% |
2392
189.7 IPS |
|
|
Object Detection (HP)
|
100% |
16328
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22813
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4017
47.7 IPS |
|
|
Face Detection (HP)
|
100% |
40633
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
56838
675.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8463
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
95387
734.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159248
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
21909
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
245620
315.7 IPS |
|
|
Style Transfer (Q)
|
96% |
298940
385.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5918
218.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50285
1.86 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84627
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3377
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
5046
6.74 KIPS |
|
|
Text Classification (Q)
|
93% |
4770
6.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10190
175.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11592
200.3 IPS |
