iPhone 16 Pro
Geekbench AI Score
4511
Single Precision Score
33302
Half Precision Score
44944
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:42 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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 | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.3 IPS |
|
|
Image Classification (HP)
|
100% |
14562
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18863
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1804
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18063
292.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23681
383.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8643
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
149013
173.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
290584
340.6 IPS |
|
|
Object Detection (SP)
|
100% |
2268
179.9 IPS |
|
|
Object Detection (HP)
|
100% |
15570
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21258
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3659
43.5 IPS |
|
|
Face Detection (HP)
|
100% |
40480
481.0 IPS |
|
|
Face Detection (Q)
|
100% |
53616
637.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7917
61.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94333
726.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
149346
1.17 KIPS |
|
|
Style Transfer (SP)
|
100% |
21359
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
245483
315.6 IPS |
|
|
Style Transfer (Q)
|
96% |
296070
382.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5244
193.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51166
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79835
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
3682
4.92 KIPS |
|
|
Text Classification (HP)
|
99% |
6154
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6110
8.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
4122
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9316
160.5 IPS |
|
|
Machine Translation (Q)
|
98% |
10539
182.1 IPS |
