iPhone18,1
Geekbench AI Score
5212
Single Precision Score
8524
Half Precision Score
6731
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Gamepak40 |
| Upload Date | October 21 2025 11:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2349
436.8 IPS |
|
|
Image Classification (HP)
|
100% |
3787
704.2 IPS |
|
|
Image Classification (Q)
|
96% |
2500
466.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3106
50.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3491
56.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
10939
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
20339
23.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
17399
20.4 IPS |
|
|
Object Detection (SP)
|
100% |
2675
212.2 IPS |
|
|
Object Detection (HP)
|
97% |
4243
337.8 IPS |
|
|
Object Detection (Q)
|
94% |
2915
232.4 IPS |
|
|
Face Detection (SP)
|
100% |
4693
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
8600
102.2 IPS |
|
|
Face Detection (Q)
|
100% |
4651
55.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8584
66.1 IPS |
|
|
Depth Estimation (HP)
|
97% |
14528
112.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
10269
80.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25685
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
39653
51.0 IPS |
|
|
Style Transfer (Q)
|
96% |
32750
42.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5747
212.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7080
261.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5075
187.4 IPS |
|
|
Text Classification (SP)
|
100% |
3279
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6078
8.11 KIPS |
|
|
Text Classification (Q)
|
93% |
5862
7.87 KIPS |
|
|
Machine Translation (SP)
|
100% |
5169
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9358
161.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9279
160.4 IPS |
