iPhone18,1
Geekbench AI Score
5046
Single Precision Score
8215
Half Precision Score
6475
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:37 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2326
432.6 IPS |
|
|
Image Classification (HP)
|
100% |
3666
681.8 IPS |
|
|
Image Classification (Q)
|
96% |
2454
458.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3013
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3386
54.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10156
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18100
21.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15279
17.9 IPS |
|
|
Object Detection (SP)
|
100% |
2502
198.5 IPS |
|
|
Object Detection (HP)
|
97% |
3994
318.0 IPS |
|
|
Object Detection (Q)
|
94% |
2753
219.4 IPS |
|
|
Face Detection (SP)
|
100% |
4270
50.7 IPS |
|
|
Face Detection (HP)
|
100% |
8136
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4195
49.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8330
64.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13797
106.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9882
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
23860
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37332
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30524
39.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5459
201.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6915
255.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4901
181.0 IPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6491
8.66 KIPS |
|
|
Text Classification (Q)
|
93% |
6436
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5167
89.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9324
161.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9291
160.6 IPS |
