iPhone18,4
Geekbench AI Score
5195
Single Precision Score
8439
Half Precision Score
6702
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | springkim |
| Upload Date | September 25 2025 09:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| 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 | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
3783
703.5 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2118
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3397
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10597
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
19656
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16481
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2621
207.9 IPS |
|
|
Object Detection (HP)
|
97% |
4157
331.0 IPS |
|
|
Object Detection (Q)
|
94% |
2858
227.8 IPS |
|
|
Face Detection (SP)
|
100% |
4486
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
8434
100.2 IPS |
|
|
Face Detection (Q)
|
100% |
4444
52.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8499
65.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14345
110.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10153
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
25045
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
38316
49.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31741
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5616
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7152
264.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5034
185.9 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6399
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6341
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5486
94.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9279
160.3 IPS |
|
|
Machine Translation (Q)
|
98% |
9983
172.5 IPS |
