iPhone18,1
Geekbench AI Score
9036
Single Precision Score
16386
Half Precision Score
16967
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | onion83 |
| Upload Date | September 19 2025 06:27 AM |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4259
792.0 IPS |
|
|
Image Classification (HP)
|
100% |
8002
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7456
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5997
97.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9474
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
10516
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20103
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53154
62.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57448
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
4389
348.1 IPS |
|
|
Object Detection (HP)
|
100% |
8083
641.2 IPS |
|
|
Object Detection (Q)
|
93% |
8035
641.0 IPS |
|
|
Face Detection (SP)
|
100% |
11682
138.8 IPS |
|
|
Face Detection (HP)
|
100% |
23117
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
17954
213.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
17781
137.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35373
272.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38186
298.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43215
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
93438
120.1 IPS |
|
|
Style Transfer (Q)
|
96% |
118815
153.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10390
383.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18220
672.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22236
821.1 IPS |
|
|
Text Classification (SP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6302
8.41 KIPS |
|
|
Text Classification (Q)
|
93% |
6274
8.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
4971
85.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4884
84.1 IPS |
|
|
Machine Translation (Q)
|
98% |
4809
83.1 IPS |
