iPhone18,4
Geekbench AI Score
5091
Single Precision Score
8282
Half Precision Score
6597
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 18 2025 07:15 PM |
| Views | 8 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2354
437.8 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.6 IPS |
|
|
Image Classification (Q)
|
96% |
2508
468.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2982
48.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
3372
54.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10160
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18766
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16041
18.8 IPS |
|
|
Object Detection (SP)
|
100% |
2627
208.4 IPS |
|
|
Object Detection (HP)
|
97% |
4115
327.6 IPS |
|
|
Object Detection (Q)
|
94% |
2843
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
4413
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8211
97.6 IPS |
|
|
Face Detection (Q)
|
100% |
4374
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8379
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14213
109.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
10118
79.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24087
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
37412
48.1 IPS |
|
|
Style Transfer (Q)
|
96% |
30961
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5567
205.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6866
253.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4980
183.9 IPS |
|
|
Text Classification (SP)
|
100% |
3510
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6385
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5073
87.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9263
160.1 IPS |
|
|
Machine Translation (Q)
|
98% |
9325
161.2 IPS |
