iPhone 16 Pro
Geekbench AI Score
4779
Single Precision Score
33062
Half Precision Score
45766
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 14 2025 08:18 AM |
| Views | 1 |
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% |
2075
385.9 IPS |
|
|
Image Classification (HP)
|
100% |
15359
2.86 KIPS |
|
|
Image Classification (Q)
|
97% |
19232
3.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2019
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18324
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24129
391.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9876
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153591
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
292745
343.1 IPS |
|
|
Object Detection (SP)
|
100% |
2389
189.5 IPS |
|
|
Object Detection (HP)
|
100% |
16295
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22756
1.82 KIPS |
|
|
Face Detection (SP)
|
100% |
4022
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
41272
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
58315
692.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8481
65.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95522
735.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159268
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
22039
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
245819
316.0 IPS |
|
|
Style Transfer (Q)
|
96% |
303246
391.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5856
216.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50689
1.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85254
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3381
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4422
5.90 KIPS |
|
|
Text Classification (Q)
|
93% |
4790
6.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
4229
72.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10202
175.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11338
195.9 IPS |
