iPhone18,4
Geekbench AI Score
4925
Single Precision Score
35368
Half Precision Score
48964
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | foolsmac |
| Upload Date | November 26 2025 03:58 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2335
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
14861
2.76 KIPS |
|
|
Image Classification (Q)
|
97% |
21490
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2086
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19460
315.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24838
402.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9767
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151887
177.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
289194
339.0 IPS |
|
|
Object Detection (SP)
|
100% |
2536
201.1 IPS |
|
|
Object Detection (HP)
|
100% |
17429
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24943
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4278
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
41111
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
55283
656.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8249
63.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
101017
778.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165755
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23872
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257114
330.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351418
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4768
176.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56740
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84694
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3520
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6583
8.79 KIPS |
|
|
Text Classification (Q)
|
93% |
6578
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
4924
84.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10031
172.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11468
198.2 IPS |
