iPhone18,1
Geekbench AI Score
5131
Single Precision Score
8385
Half Precision Score
6609
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 09:23 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% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
3776
702.3 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3438
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10612
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19304
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16096
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2626
208.3 IPS |
|
|
Object Detection (HP)
|
97% |
4196
334.0 IPS |
|
|
Object Detection (Q)
|
94% |
2881
229.6 IPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8468
100.6 IPS |
|
|
Face Detection (Q)
|
100% |
4385
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8429
64.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14285
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10128
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24338
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
38612
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
31467
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5674
209.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6948
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4990
184.3 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6076
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5247
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9489
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9380
162.1 IPS |
