iPhone18,1
Geekbench AI Score
9152
Single Precision Score
17166
Half Precision Score
17648
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 14 2025 10:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
4276
795.2 IPS |
|
|
Image Classification (HP)
|
100% |
8136
1.51 KIPS |
|
|
Image Classification (Q)
|
97% |
7594
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6144
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9649
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10607
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20485
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54726
63.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59841
70.1 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.4 IPS |
|
|
Object Detection (HP)
|
100% |
8161
647.3 IPS |
|
|
Object Detection (Q)
|
93% |
8121
647.8 IPS |
|
|
Face Detection (SP)
|
100% |
11888
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
23527
279.6 IPS |
|
|
Face Detection (Q)
|
100% |
18457
219.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18015
138.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36009
277.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
38436
300.1 IPS |
|
|
Style Transfer (SP)
|
100% |
44471
57.2 IPS |
|
|
Style Transfer (HP)
|
100% |
96861
124.5 IPS |
|
|
Style Transfer (Q)
|
96% |
121413
156.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10466
386.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19340
714.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22578
833.7 IPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6593
8.80 KIPS |
|
|
Text Classification (Q)
|
93% |
6383
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4981
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6058
104.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6032
104.2 IPS |
