iPhone 16 Plus
Geekbench AI Score
4294
Single Precision Score
33475
Half Precision Score
45369
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 09 2025 01:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple A18 |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2045
380.2 IPS |
|
|
Image Classification (HP)
|
100% |
14839
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
18696
3.49 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1782
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18107
293.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23572
382.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
7972
9.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
141841
165.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
294052
344.6 IPS |
|
|
Object Detection (SP)
|
100% |
2179
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
15768
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
21568
1.72 KIPS |
|
|
Face Detection (SP)
|
100% |
3420
40.6 IPS |
|
|
Face Detection (HP)
|
100% |
41094
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
51901
616.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7290
56.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
94436
727.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
157392
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
18640
24.0 IPS |
|
|
Style Transfer (HP)
|
100% |
243523
313.1 IPS |
|
|
Style Transfer (Q)
|
96% |
296420
382.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4984
184.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51201
1.89 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80251
2.96 KIPS |
|
|
Text Classification (SP)
|
100% |
3711
4.95 KIPS |
|
|
Text Classification (HP)
|
99% |
6232
8.32 KIPS |
|
|
Text Classification (Q)
|
93% |
6229
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (HP)
|
100% |
9753
168.0 IPS |
|
|
Machine Translation (Q)
|
98% |
10923
188.8 IPS |
