iPhone18,1
Geekbench AI Score
5161
Single Precision Score
8416
Half Precision Score
6644
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | onion83 |
| Upload Date | September 19 2025 06:24 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2342
435.6 IPS |
|
|
Image Classification (HP)
|
100% |
3742
695.9 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2120
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3062
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3461
56.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10535
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19256
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16299
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
2625
208.2 IPS |
|
|
Object Detection (HP)
|
97% |
4197
334.1 IPS |
|
|
Object Detection (Q)
|
94% |
2874
229.1 IPS |
|
|
Face Detection (SP)
|
100% |
4562
54.2 IPS |
|
|
Face Detection (HP)
|
100% |
8487
100.8 IPS |
|
|
Face Detection (Q)
|
100% |
4435
52.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8557
65.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14279
110.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
10156
79.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24727
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
38900
50.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31829
41.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5486
202.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6950
256.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4985
184.1 IPS |
|
|
Text Classification (SP)
|
100% |
3465
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6193
8.27 KIPS |
|
|
Text Classification (Q)
|
93% |
6154
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5330
91.8 IPS |
|
|
Machine Translation (HP)
|
98% |
9492
164.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9441
163.2 IPS |
