iPhone18,1
Geekbench AI Score
8295
Single Precision Score
15179
Half Precision Score
16803
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:54 PM |
| Views | 2 |
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% |
4245
789.4 IPS |
|
|
Image Classification (HP)
|
100% |
7999
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7394
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5988
97.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8989
145.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
10490
170.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20069
23.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
53358
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
57706
67.6 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8098
642.3 IPS |
|
|
Object Detection (Q)
|
93% |
8036
641.1 IPS |
|
|
Face Detection (SP)
|
100% |
11667
138.6 IPS |
|
|
Face Detection (HP)
|
100% |
22919
272.3 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17861
137.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
35342
272.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
38198
298.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43108
55.4 IPS |
|
|
Style Transfer (HP)
|
100% |
93754
120.5 IPS |
|
|
Style Transfer (Q)
|
96% |
118564
153.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10375
383.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18347
677.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22287
823.0 IPS |
|
|
Text Classification (SP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6432
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6481
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2103
36.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2333
40.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4247
73.4 IPS |
