iPhone18,4
Geekbench AI Score
4662
Single Precision Score
7634
Half Precision Score
6107
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 02:15 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2087
388.0 IPS |
|
|
Image Classification (HP)
|
100% |
3206
596.3 IPS |
|
|
Image Classification (Q)
|
96% |
2105
393.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1717
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2720
44.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3128
50.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8759
10.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
14072
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
13646
16.0 IPS |
|
|
Object Detection (SP)
|
100% |
2175
172.5 IPS |
|
|
Object Detection (HP)
|
97% |
3711
295.5 IPS |
|
|
Object Detection (Q)
|
94% |
2474
197.2 IPS |
|
|
Face Detection (SP)
|
100% |
3946
46.9 IPS |
|
|
Face Detection (HP)
|
100% |
7615
90.5 IPS |
|
|
Face Detection (Q)
|
100% |
3897
46.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
7896
60.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13158
101.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9410
73.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23087
29.7 IPS |
|
|
Style Transfer (HP)
|
100% |
36533
47.0 IPS |
|
|
Style Transfer (Q)
|
96% |
30008
38.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5372
198.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6814
251.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4973
183.6 IPS |
|
|
Text Classification (SP)
|
100% |
3524
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
98% |
9196
158.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9271
160.2 IPS |
