iPhone18,4
Geekbench AI Score
4971
Single Precision Score
8028
Half Precision Score
6467
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 25 2025 02:44 AM |
| Views | 2 |
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% |
2323
432.0 IPS |
|
|
Image Classification (HP)
|
100% |
3763
699.9 IPS |
|
|
Image Classification (Q)
|
96% |
2507
468.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2125
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3353
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10042
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
17987
21.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
14652
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2489
197.4 IPS |
|
|
Object Detection (HP)
|
97% |
4091
325.7 IPS |
|
|
Object Detection (Q)
|
94% |
2782
221.8 IPS |
|
|
Face Detection (SP)
|
100% |
4222
50.2 IPS |
|
|
Face Detection (HP)
|
100% |
7736
91.9 IPS |
|
|
Face Detection (Q)
|
100% |
4387
52.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8273
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
13384
103.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
10021
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23692
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35376
45.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30663
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5385
198.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6677
246.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4842
178.8 IPS |
|
|
Text Classification (SP)
|
100% |
3534
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6480
8.65 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4748
81.8 IPS |
|
|
Machine Translation (HP)
|
98% |
8477
146.5 IPS |
|
|
Machine Translation (Q)
|
98% |
8919
154.1 IPS |
