iPhone18,4
Geekbench AI Score
5053
Single Precision Score
8335
Half Precision Score
6585
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 22 2025 03:37 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2321
431.6 IPS |
|
|
Image Classification (HP)
|
100% |
3722
692.1 IPS |
|
|
Image Classification (Q)
|
96% |
2479
462.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
3047
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3407
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10692
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18812
22.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16177
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4087
325.4 IPS |
|
|
Object Detection (Q)
|
94% |
2793
222.6 IPS |
|
|
Face Detection (SP)
|
100% |
4359
51.8 IPS |
|
|
Face Detection (HP)
|
100% |
8092
96.2 IPS |
|
|
Face Detection (Q)
|
100% |
4329
51.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14155
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9935
77.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23975
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37318
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30746
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5509
203.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6916
255.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5036
186.0 IPS |
|
|
Text Classification (SP)
|
100% |
3535
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6450
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6381
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4683
80.7 IPS |
|
|
Machine Translation (HP)
|
98% |
9736
168.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9459
163.5 IPS |
