iPhone 16 Pro
Geekbench AI Score
4574
Single Precision Score
33497
Half Precision Score
45137
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 09:57 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
14749
2.74 KIPS |
|
|
Image Classification (Q)
|
97% |
18328
3.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17954
291.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23853
386.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8953
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
152310
177.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
290337
340.3 IPS |
|
|
Object Detection (SP)
|
100% |
2322
184.1 IPS |
|
|
Object Detection (HP)
|
100% |
15686
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21359
1.71 KIPS |
|
|
Face Detection (SP)
|
100% |
3636
43.2 IPS |
|
|
Face Detection (HP)
|
100% |
40227
478.0 IPS |
|
|
Face Detection (Q)
|
100% |
54089
642.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8095
62.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
94005
724.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
155638
1.22 KIPS |
|
|
Style Transfer (SP)
|
100% |
21511
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
244929
314.9 IPS |
|
|
Style Transfer (Q)
|
96% |
295949
381.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5426
200.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52321
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80638
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3682
4.91 KIPS |
|
|
Text Classification (HP)
|
99% |
6151
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6106
8.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
9433
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10557
182.4 IPS |
