iPhone18,1
Geekbench AI Score
9116
Single Precision Score
17099
Half Precision Score
17654
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 14 2025 07:43 AM |
| Views | 7 |
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% |
4238
788.2 IPS |
|
|
Image Classification (HP)
|
100% |
8077
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7492
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6141
99.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9650
156.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
10598
171.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20474
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
54880
64.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
60033
70.4 IPS |
|
|
Object Detection (SP)
|
100% |
4438
352.0 IPS |
|
|
Object Detection (HP)
|
100% |
8299
658.3 IPS |
|
|
Object Detection (Q)
|
93% |
8086
645.1 IPS |
|
|
Face Detection (SP)
|
100% |
11927
141.7 IPS |
|
|
Face Detection (HP)
|
100% |
23412
278.2 IPS |
|
|
Face Detection (Q)
|
100% |
18554
220.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
18240
140.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
36067
277.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
38940
304.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44662
57.4 IPS |
|
|
Style Transfer (HP)
|
100% |
96708
124.3 IPS |
|
|
Style Transfer (Q)
|
96% |
121679
157.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10485
387.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19285
712.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22601
834.6 IPS |
|
|
Text Classification (SP)
|
100% |
3304
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6330
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6328
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4980
85.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6040
104.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6068
104.9 IPS |
