iPhone18,1
Geekbench AI Score
5177
Single Precision Score
8472
Half Precision Score
6690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jaigz35 |
| Upload Date | December 22 2025 04:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
3775
702.1 IPS |
|
|
Image Classification (Q)
|
96% |
2505
467.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3054
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3466
56.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10504
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19405
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16404
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2615
207.4 IPS |
|
|
Object Detection (HP)
|
97% |
4219
335.9 IPS |
|
|
Object Detection (Q)
|
94% |
2840
226.4 IPS |
|
|
Face Detection (SP)
|
100% |
4516
53.7 IPS |
|
|
Face Detection (HP)
|
100% |
8450
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4406
52.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8558
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14237
110.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
10124
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24850
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38817
49.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31904
41.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5678
209.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7009
258.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5059
186.8 IPS |
|
|
Text Classification (SP)
|
100% |
3610
4.82 KIPS |
|
|
Text Classification (HP)
|
99% |
6560
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6499
8.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9406
162.5 IPS |
|
|
Machine Translation (Q)
|
98% |
9501
164.2 IPS |
