iPhone18,4
Geekbench AI Score
5042
Single Precision Score
8320
Half Precision Score
6605
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:42 PM |
| 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% |
2346
436.4 IPS |
|
|
Image Classification (HP)
|
100% |
3792
705.3 IPS |
|
|
Image Classification (Q)
|
96% |
2521
470.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2100
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3005
48.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3399
55.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10338
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18798
21.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16115
18.9 IPS |
|
|
Object Detection (SP)
|
100% |
2511
199.2 IPS |
|
|
Object Detection (HP)
|
97% |
4106
326.9 IPS |
|
|
Object Detection (Q)
|
94% |
2816
224.4 IPS |
|
|
Face Detection (SP)
|
100% |
4367
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
8357
99.3 IPS |
|
|
Face Detection (Q)
|
100% |
4279
50.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8301
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14058
108.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
9943
77.6 IPS |
|
|
Style Transfer (SP)
|
100% |
24408
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
37536
48.3 IPS |
|
|
Style Transfer (Q)
|
96% |
31212
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6869
253.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5011
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
3480
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6416
8.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4845
83.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9256
159.9 IPS |
|
|
Machine Translation (Q)
|
98% |
9527
164.6 IPS |
