iPhone 16 Plus
Geekbench AI Score
4437
Single Precision Score
33057
Half Precision Score
45665
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 20 2025 09:42 AM |
| Views | 1 |
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% |
2014
374.5 IPS |
|
|
Image Classification (HP)
|
100% |
15143
2.82 KIPS |
|
|
Image Classification (Q)
|
97% |
20539
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18172
294.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23691
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
8959
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
153471
179.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
291980
342.2 IPS |
|
|
Object Detection (SP)
|
100% |
2298
182.2 IPS |
|
|
Object Detection (HP)
|
100% |
16256
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
22620
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
3530
41.9 IPS |
|
|
Face Detection (HP)
|
100% |
40599
482.4 IPS |
|
|
Face Detection (Q)
|
100% |
56357
669.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8148
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
95599
736.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
159742
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
19112
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
244852
314.8 IPS |
|
|
Style Transfer (Q)
|
96% |
303618
391.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5437
200.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50999
1.88 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85409
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3420
4.56 KIPS |
|
|
Text Classification (HP)
|
100% |
4617
6.16 KIPS |
|
|
Text Classification (Q)
|
93% |
4700
6.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
3902
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10144
174.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11184
193.3 IPS |
