iPhone 16 Plus
Geekbench AI Score
4418
Single Precision Score
33197
Half Precision Score
46250
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | Sean233 |
| Upload Date | April 26 2025 04:11 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 18.5 |
| Model | iPhone 16 Plus |
| Model ID | iPhone17,4 |
| Motherboard | D48AP |
| CPU Information | |
|---|---|
| Name | Apple A18 |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1953
363.3 IPS |
|
|
Image Classification (HP)
|
100% |
15681
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
20604
3.85 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1801
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18172
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23872
387.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8827
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153777
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
293309
343.8 IPS |
|
|
Object Detection (SP)
|
100% |
2300
182.5 IPS |
|
|
Object Detection (HP)
|
100% |
16554
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
23319
1.86 KIPS |
|
|
Face Detection (SP)
|
100% |
3580
42.5 IPS |
|
|
Face Detection (HP)
|
100% |
39669
471.4 IPS |
|
|
Face Detection (Q)
|
100% |
56817
675.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8182
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
95306
734.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
159661
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19105
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244272
314.0 IPS |
|
|
Style Transfer (Q)
|
96% |
304448
392.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5335
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51082
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85019
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3378
4.51 KIPS |
|
|
Text Classification (HP)
|
100% |
4611
6.15 KIPS |
|
|
Text Classification (Q)
|
93% |
5103
6.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
3937
67.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10302
177.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11111
192.0 IPS |
