iPhone 16 Pro
Geekbench AI Score
4725
Single Precision Score
32943
Half Precision Score
45559
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Yearcakes |
| Upload Date | April 02 2025 11:38 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 Pro |
| System Information | |
|---|---|
| Operating System | iOS 18.4 |
| 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% |
2086
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
15350
2.85 KIPS |
|
|
Image Classification (Q)
|
97% |
20836
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18364
297.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24103
390.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9487
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153668
179.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
293090
343.5 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
16349
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
22486
1.80 KIPS |
|
|
Face Detection (SP)
|
100% |
3978
47.3 IPS |
|
|
Face Detection (HP)
|
100% |
40517
481.4 IPS |
|
|
Face Detection (Q)
|
100% |
57851
687.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
95085
732.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
161045
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
20847
26.8 IPS |
|
|
Style Transfer (HP)
|
100% |
244486
314.3 IPS |
|
|
Style Transfer (Q)
|
96% |
300243
387.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5826
215.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50873
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83811
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3421
4.57 KIPS |
|
|
Text Classification (HP)
|
100% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4508
6.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (HP)
|
100% |
10170
175.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11014
190.3 IPS |
