iPhone18,4
Geekbench AI Score
5102
Single Precision Score
8346
Half Precision Score
6611
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2339
434.9 IPS |
|
|
Image Classification (HP)
|
100% |
3748
697.1 IPS |
|
|
Image Classification (Q)
|
96% |
2491
465.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2092
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
3395
55.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10711
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19093
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
16386
19.2 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
97% |
4119
327.9 IPS |
|
|
Object Detection (Q)
|
94% |
2856
227.6 IPS |
|
|
Face Detection (SP)
|
100% |
4407
52.4 IPS |
|
|
Face Detection (HP)
|
100% |
8307
98.7 IPS |
|
|
Face Detection (Q)
|
100% |
4416
52.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8305
64.0 IPS |
|
|
Depth Estimation (HP)
|
97% |
14150
109.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
9987
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24655
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
37911
48.7 IPS |
|
|
Style Transfer (Q)
|
96% |
31217
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5516
203.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6907
255.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4969
183.5 IPS |
|
|
Text Classification (SP)
|
100% |
3561
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6400
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6342
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (HP)
|
98% |
9388
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9288
160.5 IPS |
