iPhone18,1
Geekbench AI Score
5076
Single Precision Score
8302
Half Precision Score
6553
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 11 2025 09:18 AM |
| Views | 4 |
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% |
2305
428.7 IPS |
|
|
Image Classification (HP)
|
100% |
3603
670.0 IPS |
|
|
Image Classification (Q)
|
96% |
2470
461.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2085
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3031
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10555
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18989
22.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
16213
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4136
329.3 IPS |
|
|
Object Detection (Q)
|
94% |
2858
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4525
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
8536
101.4 IPS |
|
|
Face Detection (Q)
|
100% |
4370
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14133
109.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
9855
76.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23897
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36895
47.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30615
39.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5558
205.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7039
259.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6163
8.23 KIPS |
|
|
Text Classification (Q)
|
93% |
6095
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
98% |
9394
162.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
