iPhone18,1
Geekbench AI Score
8553
Single Precision Score
16240
Half Precision Score
16860
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4275
795.0 IPS |
|
|
Image Classification (HP)
|
100% |
8139
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7549
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6044
98.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
9500
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10535
170.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18054
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
49216
57.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
54614
64.0 IPS |
|
|
Object Detection (SP)
|
100% |
3764
298.6 IPS |
|
|
Object Detection (HP)
|
100% |
8054
638.9 IPS |
|
|
Object Detection (Q)
|
93% |
7931
632.7 IPS |
|
|
Face Detection (SP)
|
100% |
11706
139.1 IPS |
|
|
Face Detection (HP)
|
100% |
22728
270.1 IPS |
|
|
Face Detection (Q)
|
100% |
17640
209.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
16535
127.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
35779
275.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
38224
298.4 IPS |
|
|
Style Transfer (SP)
|
100% |
42004
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
86979
111.8 IPS |
|
|
Style Transfer (Q)
|
96% |
99869
128.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9272
342.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19591
723.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21838
806.4 IPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4515
77.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4692
80.8 IPS |
|
|
Machine Translation (Q)
|
98% |
5753
99.4 IPS |
