iPhone18,4
Geekbench AI Score
5117
Single Precision Score
8303
Half Precision Score
6563
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 01:20 AM |
| Views | 1 |
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% |
2346
436.3 IPS |
|
|
Image Classification (HP)
|
100% |
3768
700.7 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2134
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2992
48.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3381
54.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10177
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
18795
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
15810
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2568
203.7 IPS |
|
|
Object Detection (HP)
|
97% |
4065
323.6 IPS |
|
|
Object Detection (Q)
|
94% |
2765
220.4 IPS |
|
|
Face Detection (SP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
8142
96.7 IPS |
|
|
Face Detection (Q)
|
100% |
4305
51.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8389
64.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
13973
108.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10005
78.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24645
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37667
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31105
40.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5599
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7030
259.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6398
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5276
90.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9375
162.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9403
162.5 IPS |
