iPhone18,1
Geekbench AI Score
5086
Single Precision Score
8322
Half Precision Score
6520
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2341
435.4 IPS |
|
|
Image Classification (HP)
|
100% |
3686
685.6 IPS |
|
|
Image Classification (Q)
|
96% |
2463
459.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3411
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9955
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
18623
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15712
18.4 IPS |
|
|
Object Detection (SP)
|
100% |
2608
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.1 IPS |
|
|
Object Detection (Q)
|
94% |
2757
219.8 IPS |
|
|
Face Detection (SP)
|
100% |
4472
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8306
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4220
50.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13895
107.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9847
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24059
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37625
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30847
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5378
198.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6932
256.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4953
182.9 IPS |
|
|
Text Classification (SP)
|
100% |
3475
4.64 KIPS |
|
|
Text Classification (HP)
|
99% |
6595
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6390
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
5236
90.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9257
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9414
162.7 IPS |
