iPhone18,1
Geekbench AI Score
9062
Single Precision Score
17016
Half Precision Score
17499
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 09:05 PM |
| Views | 4 |
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% |
4307
800.9 IPS |
|
|
Image Classification (HP)
|
100% |
8227
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7620
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6110
99.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9575
155.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
10588
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20394
23.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
53958
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59551
69.8 IPS |
|
|
Object Detection (SP)
|
100% |
4411
349.9 IPS |
|
|
Object Detection (HP)
|
100% |
8125
644.5 IPS |
|
|
Object Detection (Q)
|
93% |
8120
647.8 IPS |
|
|
Face Detection (SP)
|
100% |
11892
141.3 IPS |
|
|
Face Detection (HP)
|
100% |
23305
276.9 IPS |
|
|
Face Detection (Q)
|
100% |
18060
214.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
18070
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35449
273.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39123
305.5 IPS |
|
|
Style Transfer (SP)
|
100% |
44248
56.9 IPS |
|
|
Style Transfer (HP)
|
100% |
94830
121.9 IPS |
|
|
Style Transfer (Q)
|
96% |
120264
155.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10440
385.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20286
749.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22594
834.3 IPS |
|
|
Text Classification (SP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6116
8.16 KIPS |
|
|
Text Classification (Q)
|
93% |
5885
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
4957
85.4 IPS |
|
|
Machine Translation (HP)
|
100% |
6063
104.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6110
105.6 IPS |
