iPhone18,1
Geekbench AI Score
8908
Single Precision Score
16542
Half Precision Score
17085
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:21 AM |
| 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% |
4219
784.7 IPS |
|
|
Image Classification (HP)
|
100% |
7932
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7459
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5892
95.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9332
151.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10247
166.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19470
22.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
52309
61.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
56118
65.8 IPS |
|
|
Object Detection (SP)
|
100% |
4321
342.7 IPS |
|
|
Object Detection (HP)
|
100% |
7973
632.4 IPS |
|
|
Object Detection (Q)
|
93% |
8037
641.2 IPS |
|
|
Face Detection (SP)
|
100% |
11544
137.2 IPS |
|
|
Face Detection (HP)
|
100% |
22076
262.3 IPS |
|
|
Face Detection (Q)
|
100% |
17741
210.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
17629
135.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
34698
267.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
37812
295.2 IPS |
|
|
Style Transfer (SP)
|
100% |
42004
54.0 IPS |
|
|
Style Transfer (HP)
|
100% |
93221
119.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116082
149.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10275
379.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18892
697.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21878
807.8 IPS |
|
|
Text Classification (SP)
|
100% |
3556
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6340
8.46 KIPS |
|
|
Text Classification (Q)
|
93% |
6307
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
4820
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
5814
100.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5722
98.9 IPS |
