iPhone18,1
Geekbench AI Score
5138
Single Precision Score
8308
Half Precision Score
6629
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:58 PM |
| Views | 2 |
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% |
3692
686.6 IPS |
|
|
Image Classification (Q)
|
96% |
2472
461.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2153
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3437
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10505
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
19189
22.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
16476
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2664
211.3 IPS |
|
|
Object Detection (HP)
|
97% |
4141
329.7 IPS |
|
|
Object Detection (Q)
|
94% |
2870
228.8 IPS |
|
|
Face Detection (SP)
|
100% |
4663
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
8472
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4453
52.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8416
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14131
109.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
10066
78.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24752
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37910
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31386
40.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5384
198.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6993
258.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4970
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6125
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5855
7.86 KIPS |
|
|
Machine Translation (SP)
|
100% |
5368
92.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9062
156.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9969
172.3 IPS |
