iPhone 16 Pro
Geekbench AI Score
4686
Single Precision Score
33349
Half Precision Score
45773
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | HNSDMPF |
| Upload Date | June 08 2025 02:53 AM |
| Views | 3 |
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
386.7 IPS |
|
|
Image Classification (HP)
|
100% |
15156
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20085
3.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1987
32.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18287
296.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24095
390.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9347
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153710
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
292922
343.3 IPS |
|
|
Object Detection (SP)
|
100% |
2357
187.0 IPS |
|
|
Object Detection (HP)
|
100% |
16247
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
23010
1.84 KIPS |
|
|
Face Detection (SP)
|
100% |
3990
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
41209
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
58454
694.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
96664
744.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
159933
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
20892
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
245714
315.9 IPS |
|
|
Style Transfer (Q)
|
96% |
298819
385.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5566
205.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51021
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84674
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3428
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
4790
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
4566
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4248
73.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10277
177.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11462
198.1 IPS |
