iPhone18,4
Geekbench AI Score
5147
Single Precision Score
8396
Half Precision Score
6602
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 27 2025 11:02 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% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3736
694.8 IPS |
|
|
Image Classification (Q)
|
96% |
2492
465.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2140
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3058
49.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10720
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19355
22.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
16224
19.0 IPS |
|
|
Object Detection (SP)
|
100% |
2593
205.7 IPS |
|
|
Object Detection (HP)
|
97% |
4130
328.8 IPS |
|
|
Object Detection (Q)
|
94% |
2843
226.6 IPS |
|
|
Face Detection (SP)
|
100% |
4367
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8295
98.6 IPS |
|
|
Face Detection (Q)
|
100% |
4422
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8268
63.7 IPS |
|
|
Depth Estimation (HP)
|
97% |
14180
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
10021
78.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24858
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38089
49.0 IPS |
|
|
Style Transfer (Q)
|
96% |
31432
40.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7098
262.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4996
184.5 IPS |
|
|
Text Classification (SP)
|
100% |
3540
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6390
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5249
90.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9389
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9012
155.7 IPS |
