iPhone18,1
Geekbench AI Score
5124
Single Precision Score
8338
Half Precision Score
6620
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 04:28 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.1 IPS |
|
|
Image Classification (Q)
|
96% |
2485
464.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
2160
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3443
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10861
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
19216
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16498
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
97% |
4163
331.4 IPS |
|
|
Object Detection (Q)
|
94% |
2877
229.3 IPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8343
99.1 IPS |
|
|
Face Detection (Q)
|
100% |
4434
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8368
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14201
109.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
10098
78.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24806
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37870
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31314
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5353
197.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4917
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3254
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
6073
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6074
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9504
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9511
164.4 IPS |
