iPhone18,1
Geekbench AI Score
9181
Single Precision Score
17084
Half Precision Score
17656
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | January 06 2026 11:09 AM |
| Views | 6 |
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% |
4318
803.1 IPS |
|
|
Image Classification (HP)
|
100% |
8052
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7533
1.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
6129
99.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
9675
156.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10605
171.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
20560
24.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
54733
63.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
59907
70.2 IPS |
|
|
Object Detection (SP)
|
100% |
4408
349.6 IPS |
|
|
Object Detection (HP)
|
100% |
8155
646.9 IPS |
|
|
Object Detection (Q)
|
93% |
8105
646.6 IPS |
|
|
Face Detection (SP)
|
100% |
11906
141.5 IPS |
|
|
Face Detection (HP)
|
100% |
23443
278.6 IPS |
|
|
Face Detection (Q)
|
100% |
18152
215.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
18303
141.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
35719
275.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
39319
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
44177
56.8 IPS |
|
|
Style Transfer (HP)
|
100% |
96886
124.5 IPS |
|
|
Style Transfer (Q)
|
96% |
121201
156.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10482
387.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19380
715.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22595
834.3 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6449
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
4961
85.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6009
103.5 IPS |
|
|
Machine Translation (Q)
|
98% |
6018
104.0 IPS |
