iPhone18,1
Geekbench AI Score
9148
Single Precision Score
17057
Half Precision Score
17570
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 08:18 AM |
| Views | 3 |
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% |
4340
807.1 IPS |
|
|
Image Classification (HP)
|
100% |
8010
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7380
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6172
100.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9700
157.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10719
173.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20526
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54686
63.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
60002
70.3 IPS |
|
|
Object Detection (SP)
|
100% |
4451
353.0 IPS |
|
|
Object Detection (HP)
|
100% |
8200
650.4 IPS |
|
|
Object Detection (Q)
|
93% |
8077
644.4 IPS |
|
|
Face Detection (SP)
|
100% |
11974
142.3 IPS |
|
|
Face Detection (HP)
|
100% |
23444
278.6 IPS |
|
|
Face Detection (Q)
|
100% |
18578
220.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18150
139.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36062
277.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
39107
305.3 IPS |
|
|
Style Transfer (SP)
|
100% |
44666
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96456
124.0 IPS |
|
|
Style Transfer (Q)
|
96% |
121811
157.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10512
388.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19797
731.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22575
833.6 IPS |
|
|
Text Classification (SP)
|
100% |
3293
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6068
8.10 KIPS |
|
|
Text Classification (Q)
|
93% |
6014
8.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
4993
86.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6108
105.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6088
105.2 IPS |
