iPhone18,4
Geekbench AI Score
4987
Single Precision Score
8038
Half Precision Score
6443
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 08:15 PM |
| Views | 3 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2302
428.1 IPS |
|
|
Image Classification (HP)
|
100% |
3700
688.1 IPS |
|
|
Image Classification (Q)
|
96% |
2408
449.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2962
48.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3346
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9655
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
18158
21.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
14701
17.2 IPS |
|
|
Object Detection (SP)
|
100% |
2498
198.1 IPS |
|
|
Object Detection (HP)
|
97% |
4018
319.9 IPS |
|
|
Object Detection (Q)
|
94% |
2696
214.9 IPS |
|
|
Face Detection (SP)
|
100% |
4219
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
8015
95.2 IPS |
|
|
Face Detection (Q)
|
100% |
4253
50.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8155
62.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
13242
102.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9888
77.2 IPS |
|
|
Style Transfer (SP)
|
100% |
23813
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
36047
46.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31243
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5639
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6727
248.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4993
184.4 IPS |
|
|
Text Classification (SP)
|
100% |
3514
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6416
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5003
86.2 IPS |
|
|
Machine Translation (HP)
|
98% |
8529
147.4 IPS |
|
|
Machine Translation (Q)
|
98% |
9152
158.2 IPS |
