iPhone18,4
Geekbench AI Score
7040
Single Precision Score
13457
Half Precision Score
14931
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 12 2025 12:45 AM |
| Views | 69 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3952
735.0 IPS |
|
|
Image Classification (HP)
|
100% |
7417
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6864
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5348
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8791
142.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9288
150.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
17635
20.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
47711
55.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
56226
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
7454
591.2 IPS |
|
|
Object Detection (Q)
|
93% |
7204
574.7 IPS |
|
|
Face Detection (SP)
|
100% |
11006
130.8 IPS |
|
|
Face Detection (HP)
|
100% |
21309
253.2 IPS |
|
|
Face Detection (Q)
|
100% |
15908
189.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12859
99.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29441
226.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
35271
275.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31219
40.1 IPS |
|
|
Style Transfer (HP)
|
100% |
58818
75.6 IPS |
|
|
Style Transfer (Q)
|
96% |
76298
98.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6998
258.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15462
571.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18344
677.4 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6355
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6329
8.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2317
39.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4293
74.2 IPS |
