iPhone18,1
Geekbench AI Score
5138
Single Precision Score
8345
Half Precision Score
6592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 07 2025 07:22 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2329
433.1 IPS |
|
|
Image Classification (HP)
|
100% |
3751
697.5 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3016
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3410
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10705
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19354
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16459
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
97% |
4158
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2869
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
4612
54.8 IPS |
|
|
Face Detection (HP)
|
100% |
8528
101.3 IPS |
|
|
Face Detection (Q)
|
100% |
4392
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8304
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14223
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10016
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24534
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
37762
48.5 IPS |
|
|
Style Transfer (Q)
|
96% |
31296
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5646
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6981
257.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5053
186.6 IPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
5959
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
6003
8.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9443
163.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9303
160.8 IPS |
