iPhone18,1
Geekbench AI Score
9041
Single Precision Score
16534
Half Precision Score
17008
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | skyzyx |
| Upload Date | September 20 2025 06:07 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4184
778.2 IPS |
|
|
Image Classification (HP)
|
100% |
8048
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7559
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5950
96.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9469
153.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10474
169.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20077
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53208
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
58085
68.1 IPS |
|
|
Object Detection (SP)
|
100% |
4371
346.7 IPS |
|
|
Object Detection (HP)
|
100% |
8062
639.5 IPS |
|
|
Object Detection (Q)
|
93% |
8047
641.9 IPS |
|
|
Face Detection (SP)
|
100% |
11536
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
22878
271.8 IPS |
|
|
Face Detection (Q)
|
100% |
17785
211.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17741
136.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
35084
270.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37723
294.5 IPS |
|
|
Style Transfer (SP)
|
100% |
43091
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
94280
121.2 IPS |
|
|
Style Transfer (Q)
|
96% |
119332
154.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10405
384.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19704
727.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22310
823.8 IPS |
|
|
Text Classification (SP)
|
100% |
3555
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6629
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6491
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5122
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4727
81.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4722
81.6 IPS |
