iPhone18,4
Geekbench AI Score
5126
Single Precision Score
8328
Half Precision Score
6520
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | BlackLabel |
| Upload Date | November 01 2025 10:53 PM |
| Views | 5 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
3727
693.1 IPS |
|
|
Image Classification (Q)
|
96% |
2481
463.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2151
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3088
50.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3378
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10369
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18900
22.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
15952
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2563
203.3 IPS |
|
|
Object Detection (HP)
|
97% |
4076
324.5 IPS |
|
|
Object Detection (Q)
|
94% |
2770
220.8 IPS |
|
|
Face Detection (SP)
|
100% |
4340
51.6 IPS |
|
|
Face Detection (HP)
|
100% |
8213
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4181
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8384
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14108
109.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
9908
77.3 IPS |
|
|
Style Transfer (SP)
|
100% |
24561
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
37377
48.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30878
39.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5588
206.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6967
257.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5013
185.1 IPS |
|
|
Text Classification (SP)
|
100% |
3570
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6424
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6452
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5253
90.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9340
161.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9062
156.6 IPS |
