iPhone18,4
Geekbench AI Score
5039
Single Precision Score
8243
Half Precision Score
6524
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:24 AM |
| Views | 3 |
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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
3753
697.9 IPS |
|
|
Image Classification (Q)
|
96% |
2473
461.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2990
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3400
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10187
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18297
21.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
15919
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2509
199.0 IPS |
|
|
Object Detection (HP)
|
97% |
4053
322.7 IPS |
|
|
Object Detection (Q)
|
94% |
2734
217.9 IPS |
|
|
Face Detection (SP)
|
100% |
4261
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
8056
95.7 IPS |
|
|
Face Detection (Q)
|
100% |
4278
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
97% |
14044
108.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9995
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24321
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
36940
47.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30686
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5393
199.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6907
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4894
180.7 IPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6422
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6413
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
5056
87.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9398
162.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9278
160.3 IPS |
