iPhone18,1
Geekbench AI Score
9109
Single Precision Score
17000
Half Precision Score
17557
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:01 AM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4253
791.0 IPS |
|
|
Image Classification (HP)
|
100% |
8030
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7530
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6098
98.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9633
156.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10556
171.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
20412
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
54340
63.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
59344
69.6 IPS |
|
|
Object Detection (SP)
|
100% |
4404
349.3 IPS |
|
|
Object Detection (HP)
|
100% |
8110
643.3 IPS |
|
|
Object Detection (Q)
|
93% |
8122
648.0 IPS |
|
|
Face Detection (SP)
|
100% |
11832
140.6 IPS |
|
|
Face Detection (HP)
|
100% |
23086
274.3 IPS |
|
|
Face Detection (Q)
|
100% |
18039
214.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18046
139.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35498
273.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
38923
303.9 IPS |
|
|
Style Transfer (SP)
|
100% |
43849
56.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96382
123.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120957
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10417
384.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19309
713.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22569
833.3 IPS |
|
|
Text Classification (SP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6466
8.63 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
4854
83.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5997
103.3 IPS |
|
|
Machine Translation (Q)
|
98% |
5968
103.1 IPS |
