iPhone 16 Pro
Geekbench AI Score
4634
Single Precision Score
33210
Half Precision Score
46157
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | electus |
| Upload Date | September 13 2025 04:21 PM |
| Views | 5 |
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% |
2069
384.7 IPS |
|
|
Image Classification (HP)
|
100% |
15166
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20125
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1995
32.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
18319
297.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24128
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9306
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152191
177.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
292290
342.6 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.5 IPS |
|
|
Object Detection (HP)
|
100% |
16410
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22664
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3874
46.0 IPS |
|
|
Face Detection (HP)
|
100% |
41022
487.4 IPS |
|
|
Face Detection (Q)
|
100% |
56828
675.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8316
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
95419
735.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
159758
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20193
26.0 IPS |
|
|
Style Transfer (HP)
|
100% |
244674
314.5 IPS |
|
|
Style Transfer (Q)
|
96% |
303556
391.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50681
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84434
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3395
4.53 KIPS |
|
|
Text Classification (HP)
|
100% |
4781
6.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5039
6.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4193
72.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10136
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11638
201.1 IPS |
