iPhone18,1
Geekbench AI Score
9016
Single Precision Score
16289
Half Precision Score
16911
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | September 20 2025 10:42 AM |
| Views | 8 |
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% |
4229
786.4 IPS |
|
|
Image Classification (HP)
|
100% |
7957
1.48 KIPS |
|
|
Image Classification (Q)
|
97% |
7444
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5967
96.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9458
153.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10406
168.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
20074
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53191
62.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57197
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
4385
347.8 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.1 IPS |
|
|
Object Detection (Q)
|
93% |
8095
645.8 IPS |
|
|
Face Detection (SP)
|
100% |
11539
137.1 IPS |
|
|
Face Detection (HP)
|
100% |
22847
271.5 IPS |
|
|
Face Detection (Q)
|
100% |
17789
211.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17851
137.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35273
271.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
37917
296.0 IPS |
|
|
Style Transfer (SP)
|
100% |
43318
55.7 IPS |
|
|
Style Transfer (HP)
|
100% |
93559
120.3 IPS |
|
|
Style Transfer (Q)
|
96% |
118307
152.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17960
663.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22229
820.8 IPS |
|
|
Text Classification (SP)
|
100% |
3478
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6272
8.37 KIPS |
|
|
Text Classification (Q)
|
93% |
6354
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4950
85.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4734
81.8 IPS |
