iPhone18,1
Geekbench AI Score
8322
Single Precision Score
16397
Half Precision Score
15667
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 06:07 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4264
792.9 IPS |
|
|
Image Classification (HP)
|
100% |
8043
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7540
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6058
98.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9453
153.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10480
169.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20170
23.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
53368
62.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
58358
68.4 IPS |
|
|
Object Detection (SP)
|
100% |
4401
349.1 IPS |
|
|
Object Detection (HP)
|
100% |
8033
637.2 IPS |
|
|
Object Detection (Q)
|
93% |
8087
645.1 IPS |
|
|
Face Detection (SP)
|
100% |
11743
139.5 IPS |
|
|
Face Detection (HP)
|
100% |
23112
274.6 IPS |
|
|
Face Detection (Q)
|
100% |
17965
213.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
17915
138.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35483
273.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38715
302.3 IPS |
|
|
Style Transfer (SP)
|
100% |
43216
55.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94740
121.8 IPS |
|
|
Style Transfer (Q)
|
96% |
119625
154.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10427
385.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18552
685.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22457
829.2 IPS |
|
|
Text Classification (SP)
|
100% |
3588
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6533
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6412
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
2045
35.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4580
78.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1995
34.5 IPS |
