iPhone 16 Pro
Geekbench AI Score
4625
Single Precision Score
33240
Half Precision Score
46250
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | June 30 2025 09:57 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| 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% |
2079
386.6 IPS |
|
|
Image Classification (HP)
|
100% |
15334
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20131
3.76 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1998
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18340
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24245
393.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8973
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
152076
177.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
291076
341.2 IPS |
|
|
Object Detection (SP)
|
100% |
2348
186.2 IPS |
|
|
Object Detection (HP)
|
100% |
16416
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22904
1.83 KIPS |
|
|
Face Detection (SP)
|
100% |
3941
46.8 IPS |
|
|
Face Detection (HP)
|
100% |
41149
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
57903
688.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8117
62.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
95968
739.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
160243
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20103
25.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244769
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
305222
393.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5472
202.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49796
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84776
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3389
4.52 KIPS |
|
|
Text Classification (HP)
|
100% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4965
6.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10185
175.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11548
199.6 IPS |
