iPhone18,1
Geekbench AI Score
4755
Single Precision Score
36194
Half Precision Score
49853
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | felixtong |
| Upload Date | October 01 2025 01:52 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.10 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2281
424.2 IPS |
|
|
Image Classification (HP)
|
100% |
16683
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
22733
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2069
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19995
324.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25789
418.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9094
10.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
140753
164.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
267074
313.0 IPS |
|
|
Object Detection (SP)
|
100% |
2338
185.4 IPS |
|
|
Object Detection (HP)
|
100% |
17574
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25030
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (HP)
|
100% |
42068
499.9 IPS |
|
|
Face Detection (Q)
|
100% |
60941
724.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7829
60.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101932
785.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165561
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
22189
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
250864
322.5 IPS |
|
|
Style Transfer (Q)
|
96% |
347834
448.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5152
190.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
59100
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84694
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3559
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6669
8.90 KIPS |
|
|
Text Classification (Q)
|
93% |
6675
8.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4617
79.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11030
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12196
210.8 IPS |
