iPhone18,4
Geekbench AI Score
5117
Single Precision Score
8391
Half Precision Score
6642
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 08:30 PM |
| Views | 2 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2339
435.0 IPS |
|
|
Image Classification (HP)
|
100% |
3806
707.8 IPS |
|
|
Image Classification (Q)
|
96% |
2510
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
3048
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3416
55.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10699
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19343
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16447
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2614
207.4 IPS |
|
|
Object Detection (HP)
|
97% |
4103
326.7 IPS |
|
|
Object Detection (Q)
|
94% |
2828
225.4 IPS |
|
|
Face Detection (SP)
|
100% |
4378
52.0 IPS |
|
|
Face Detection (HP)
|
100% |
8206
97.5 IPS |
|
|
Face Detection (Q)
|
100% |
4358
51.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8413
64.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
14302
110.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10080
78.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24695
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37872
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31626
40.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5555
205.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6980
257.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5015
185.2 IPS |
|
|
Text Classification (SP)
|
100% |
3566
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6395
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6353
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4952
85.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9476
163.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9479
163.8 IPS |
