iPhone18,4
Geekbench AI Score
7221
Single Precision Score
15161
Half Precision Score
13248
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:15 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3982
740.5 IPS |
|
|
Image Classification (HP)
|
100% |
7416
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6920
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5342
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8845
143.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
9265
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17984
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
49214
57.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56679
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
3936
312.2 IPS |
|
|
Object Detection (HP)
|
100% |
7565
600.1 IPS |
|
|
Object Detection (Q)
|
93% |
7173
572.3 IPS |
|
|
Face Detection (SP)
|
100% |
10934
129.9 IPS |
|
|
Face Detection (HP)
|
100% |
21516
255.7 IPS |
|
|
Face Detection (Q)
|
100% |
15776
187.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
13562
104.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
32349
249.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
35360
276.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35480
45.6 IPS |
|
|
Style Transfer (HP)
|
100% |
68622
88.2 IPS |
|
|
Style Transfer (Q)
|
96% |
81595
105.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7383
272.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17712
654.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19748
729.2 IPS |
|
|
Text Classification (SP)
|
100% |
3517
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6401
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6407
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
1875
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4853
83.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1110
19.2 IPS |
