iPhone 16 Pro
Geekbench AI Score
4630
Single Precision Score
33435
Half Precision Score
45174
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dirkjumpertz |
| Upload Date | November 05 2025 11:19 PM |
| Views | 5 |
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% |
2023
376.2 IPS |
|
|
Image Classification (HP)
|
100% |
14582
2.71 KIPS |
|
|
Image Classification (Q)
|
97% |
18835
3.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1828
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18035
292.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23526
381.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9094
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151917
177.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
291907
342.1 IPS |
|
|
Object Detection (SP)
|
100% |
2316
183.7 IPS |
|
|
Object Detection (HP)
|
100% |
15574
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21733
1.74 KIPS |
|
|
Face Detection (SP)
|
100% |
3670
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
40351
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
53345
633.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
94381
727.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
152342
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
22475
28.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245927
316.1 IPS |
|
|
Style Transfer (Q)
|
96% |
297090
383.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5586
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51601
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80596
2.98 KIPS |
|
|
Text Classification (SP)
|
100% |
3703
4.94 KIPS |
|
|
Text Classification (HP)
|
99% |
6190
8.26 KIPS |
|
|
Text Classification (Q)
|
93% |
6117
8.21 KIPS |
|
|
Machine Translation (SP)
|
100% |
4175
71.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9380
161.6 IPS |
|
|
Machine Translation (Q)
|
98% |
10578
182.8 IPS |
