iPhone18,1
Geekbench AI Score
9040
Single Precision Score
16467
Half Precision Score
16973
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ragnarokchan |
| Upload Date | November 01 2025 07:52 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4264
793.0 IPS |
|
|
Image Classification (HP)
|
100% |
8059
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7457
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6058
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9519
154.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
10519
170.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
20261
23.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
53938
62.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
58612
68.7 IPS |
|
|
Object Detection (SP)
|
100% |
4402
349.2 IPS |
|
|
Object Detection (HP)
|
100% |
8095
642.1 IPS |
|
|
Object Detection (Q)
|
93% |
8044
641.8 IPS |
|
|
Face Detection (SP)
|
100% |
11784
140.0 IPS |
|
|
Face Detection (HP)
|
100% |
23149
275.1 IPS |
|
|
Face Detection (Q)
|
100% |
17960
213.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
17979
138.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35332
272.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
38801
302.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43413
55.8 IPS |
|
|
Style Transfer (HP)
|
100% |
95314
122.5 IPS |
|
|
Style Transfer (Q)
|
96% |
119411
154.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10410
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18899
697.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22542
832.4 IPS |
|
|
Text Classification (SP)
|
100% |
3288
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6293
8.40 KIPS |
|
|
Text Classification (Q)
|
93% |
6040
8.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
5030
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4722
81.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4737
81.9 IPS |
