iPhone 16 Plus
Geekbench AI Score
4533
Single Precision Score
33788
Half Precision Score
45132
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 03:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2022
375.9 IPS |
|
|
Image Classification (HP)
|
100% |
14674
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
18975
3.54 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1738
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
18113
293.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23697
384.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9059
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
152840
178.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
295011
345.8 IPS |
|
|
Object Detection (SP)
|
100% |
2333
185.1 IPS |
|
|
Object Detection (HP)
|
100% |
15580
1.24 KIPS |
|
|
Object Detection (Q)
|
91% |
21270
1.70 KIPS |
|
|
Face Detection (SP)
|
100% |
3594
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
49816
591.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8007
61.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
94468
727.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
152338
1.19 KIPS |
|
|
Style Transfer (SP)
|
100% |
21231
27.3 IPS |
|
|
Style Transfer (HP)
|
100% |
243321
312.8 IPS |
|
|
Style Transfer (Q)
|
96% |
293573
378.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5494
202.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
52370
1.93 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80907
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3724
4.97 KIPS |
|
|
Text Classification (HP)
|
99% |
6334
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6296
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
3950
68.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9766
168.2 IPS |
|
|
Machine Translation (Q)
|
98% |
10952
189.3 IPS |
