iPhone 16 Plus
Geekbench AI Score
4370
Single Precision Score
4737
Half Precision Score
4610
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | June 15 2025 04:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 19.0 |
| 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 | 7.47 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
785
146.0 IPS |
|
|
Image Classification (HP)
|
100% |
805
149.7 IPS |
|
|
Image Classification (Q)
|
96% |
782
145.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3875
62.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3818
61.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3862
62.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12981
15.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
14418
16.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
14097
16.5 IPS |
|
|
Object Detection (SP)
|
100% |
1926
152.7 IPS |
|
|
Object Detection (HP)
|
100% |
1686
133.8 IPS |
|
|
Object Detection (Q)
|
92% |
1428
114.0 IPS |
|
|
Face Detection (SP)
|
100% |
7015
83.4 IPS |
|
|
Face Detection (HP)
|
100% |
8469
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
7374
87.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11064
85.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
12303
94.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
11283
88.1 IPS |
|
|
Style Transfer (SP)
|
100% |
29035
37.3 IPS |
|
|
Style Transfer (HP)
|
100% |
31705
40.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31677
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4458
164.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3354
123.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4255
157.1 IPS |
|
|
Text Classification (SP)
|
100% |
3309
4.42 KIPS |
|
|
Text Classification (HP)
|
100% |
5954
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5703
7.65 KIPS |
|
|
Machine Translation (SP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1156
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1116
19.3 IPS |
