iPhone18,1
Geekbench AI Score
5188
Single Precision Score
8463
Half Precision Score
6684
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 01:57 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3724
692.5 IPS |
|
|
Image Classification (Q)
|
96% |
2478
462.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
3040
49.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3486
56.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10749
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19507
22.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
16378
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2638
209.3 IPS |
|
|
Object Detection (HP)
|
97% |
4153
330.6 IPS |
|
|
Object Detection (Q)
|
94% |
2858
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4597
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
8449
100.4 IPS |
|
|
Face Detection (Q)
|
100% |
4364
51.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8439
65.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14318
110.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
10140
79.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24815
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
39009
50.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31650
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5645
208.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7061
260.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5032
185.8 IPS |
|
|
Text Classification (SP)
|
100% |
3591
4.79 KIPS |
|
|
Text Classification (HP)
|
99% |
6496
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6460
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5202
89.6 IPS |
|
|
Machine Translation (HP)
|
98% |
9500
164.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9682
167.3 IPS |
