iPhone 16 Pro
Geekbench AI Score
4699
Single Precision Score
33362
Half Precision Score
46357
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | JYQ123 |
| Upload Date | May 30 2025 02:13 PM |
| Views | 14 |
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% |
2084
387.5 IPS |
|
|
Image Classification (HP)
|
100% |
15585
2.90 KIPS |
|
|
Image Classification (Q)
|
97% |
20310
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18342
297.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24187
392.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9426
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152398
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
292214
342.5 IPS |
|
|
Object Detection (SP)
|
100% |
2361
187.3 IPS |
|
|
Object Detection (HP)
|
100% |
16522
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
22566
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3974
47.2 IPS |
|
|
Face Detection (HP)
|
100% |
41189
489.4 IPS |
|
|
Face Detection (Q)
|
100% |
58687
697.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8280
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95054
732.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
162977
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
20899
26.9 IPS |
|
|
Style Transfer (HP)
|
100% |
244837
314.7 IPS |
|
|
Style Transfer (Q)
|
96% |
301246
388.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50951
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85248
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3370
4.50 KIPS |
|
|
Text Classification (HP)
|
100% |
4794
6.40 KIPS |
|
|
Text Classification (Q)
|
93% |
5080
6.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4266
73.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10138
174.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11341
196.0 IPS |
