iPhone18,1
Geekbench AI Score
5115
Single Precision Score
8312
Half Precision Score
6552
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 04:56 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2149
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2999
48.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3426
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10426
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
18844
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
15980
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2601
206.3 IPS |
|
|
Object Detection (HP)
|
97% |
4151
330.5 IPS |
|
|
Object Detection (Q)
|
94% |
2834
225.9 IPS |
|
|
Face Detection (SP)
|
100% |
4600
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
8411
99.9 IPS |
|
|
Face Detection (Q)
|
100% |
4386
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8408
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14103
109.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
9992
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24784
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38004
48.9 IPS |
|
|
Style Transfer (Q)
|
96% |
31294
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5458
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7014
259.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4974
183.7 IPS |
|
|
Text Classification (SP)
|
100% |
3246
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5960
8.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
5327
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9444
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9328
161.2 IPS |
