iPhone18,1
Geekbench AI Score
4984
Single Precision Score
8143
Half Precision Score
6412
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:26 PM |
| Views | 1 |
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% |
2288
425.5 IPS |
|
|
Image Classification (HP)
|
100% |
3669
682.4 IPS |
|
|
Image Classification (Q)
|
96% |
2439
455.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2091
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3017
48.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9609
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
17632
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15076
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2516
199.6 IPS |
|
|
Object Detection (HP)
|
97% |
3997
318.2 IPS |
|
|
Object Detection (Q)
|
94% |
2672
212.9 IPS |
|
|
Face Detection (SP)
|
100% |
4229
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
8110
96.4 IPS |
|
|
Face Detection (Q)
|
100% |
4119
48.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8293
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
13634
105.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9664
75.4 IPS |
|
|
Style Transfer (SP)
|
100% |
23786
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37246
47.9 IPS |
|
|
Style Transfer (Q)
|
96% |
30377
39.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5377
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6945
256.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4906
181.2 IPS |
|
|
Text Classification (SP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6414
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6491
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
5131
88.4 IPS |
|
|
Machine Translation (HP)
|
98% |
8966
154.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9300
160.7 IPS |
