iPhone18,1
Geekbench AI Score
4813
Single Precision Score
9698
Half Precision Score
9199
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | cloudit0 |
| Upload Date | September 26 2025 01:33 PM |
| Views | 5 |
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% |
4037
750.8 IPS |
|
|
Image Classification (HP)
|
100% |
4919
914.7 IPS |
|
|
Image Classification (Q)
|
97% |
6332
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5907
95.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
9430
152.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
6264
101.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13056
15.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
36017
42.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
17458
20.5 IPS |
|
|
Object Detection (SP)
|
100% |
2098
166.4 IPS |
|
|
Object Detection (HP)
|
100% |
3892
308.7 IPS |
|
|
Object Detection (Q)
|
93% |
3934
313.9 IPS |
|
|
Face Detection (SP)
|
100% |
3962
47.1 IPS |
|
|
Face Detection (HP)
|
100% |
8658
102.9 IPS |
|
|
Face Detection (Q)
|
100% |
8018
95.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5515
42.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
16875
130.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
19306
150.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11288
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
40157
51.6 IPS |
|
|
Style Transfer (Q)
|
96% |
49733
64.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5255
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11304
417.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15736
581.1 IPS |
|
|
Text Classification (SP)
|
100% |
2490
3.32 KIPS |
|
|
Text Classification (HP)
|
99% |
4868
6.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3824
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3165
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3508
60.4 IPS |
|
|
Machine Translation (Q)
|
98% |
3442
59.5 IPS |
