iPhone18,1
Geekbench AI Score
9116
Single Precision Score
16510
Half Precision Score
17210
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 02:15 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
4205
781.9 IPS |
|
|
Image Classification (HP)
|
100% |
8001
1.49 KIPS |
|
|
Image Classification (Q)
|
97% |
7503
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6072
98.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9561
155.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
10583
171.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20324
23.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
53988
63.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
59290
69.5 IPS |
|
|
Object Detection (SP)
|
100% |
4406
349.5 IPS |
|
|
Object Detection (HP)
|
100% |
8113
643.5 IPS |
|
|
Object Detection (Q)
|
93% |
8060
643.0 IPS |
|
|
Face Detection (SP)
|
100% |
11840
140.7 IPS |
|
|
Face Detection (HP)
|
100% |
23121
274.7 IPS |
|
|
Face Detection (Q)
|
100% |
18325
217.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18070
139.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
35451
273.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
38451
300.2 IPS |
|
|
Style Transfer (SP)
|
100% |
43678
56.1 IPS |
|
|
Style Transfer (HP)
|
100% |
96109
123.5 IPS |
|
|
Style Transfer (Q)
|
96% |
120771
155.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10411
384.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19030
702.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22587
834.0 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6417
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6559
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5033
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4671
80.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4765
82.3 IPS |
