iPhone18,4
Geekbench AI Score
7744
Single Precision Score
15517
Half Precision Score
15792
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 14 2025 01:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3930
730.8 IPS |
|
|
Image Classification (HP)
|
100% |
7350
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6780
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5339
86.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8790
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9293
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17953
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48248
56.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
56590
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
3948
313.1 IPS |
|
|
Object Detection (HP)
|
100% |
7509
595.6 IPS |
|
|
Object Detection (Q)
|
93% |
7015
559.7 IPS |
|
|
Face Detection (SP)
|
100% |
10955
130.2 IPS |
|
|
Face Detection (HP)
|
100% |
21594
256.6 IPS |
|
|
Face Detection (Q)
|
100% |
16357
194.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15869
122.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33226
256.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
34846
272.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39403
50.7 IPS |
|
|
Style Transfer (HP)
|
100% |
87493
112.5 IPS |
|
|
Style Transfer (Q)
|
96% |
107871
139.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9137
337.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17577
649.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20042
740.1 IPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6446
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6420
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2354
40.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4864
83.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4877
84.3 IPS |
