iPhone18,1
Geekbench AI Score
5177
Single Precision Score
36057
Half Precision Score
49457
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 06:42 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2352
437.5 IPS |
|
|
Image Classification (HP)
|
100% |
16106
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22627
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20128
326.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25334
410.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10628
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160042
186.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
298123
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2641
209.5 IPS |
|
|
Object Detection (HP)
|
100% |
17472
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25094
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4667
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
41064
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
55778
662.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8562
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104580
805.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164051
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25273
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258590
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350440
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56208
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87678
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5938
7.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5880
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5322
91.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11056
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12350
213.4 IPS |
