iPhone18,4
Geekbench AI Score
8255
Single Precision Score
15408
Half Precision Score
15757
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 08:28 AM |
| 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% |
3905
726.2 IPS |
|
|
Image Classification (HP)
|
100% |
7315
1.36 KIPS |
|
|
Image Classification (Q)
|
97% |
6804
1.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5323
86.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8704
141.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
9245
149.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
17786
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
47452
55.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
56465
66.2 IPS |
|
|
Object Detection (SP)
|
100% |
3915
310.5 IPS |
|
|
Object Detection (HP)
|
100% |
7448
590.8 IPS |
|
|
Object Detection (Q)
|
93% |
7030
560.9 IPS |
|
|
Face Detection (SP)
|
100% |
10826
128.6 IPS |
|
|
Face Detection (HP)
|
100% |
21413
254.4 IPS |
|
|
Face Detection (Q)
|
100% |
15974
189.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
15846
122.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
32920
253.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
35051
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
39220
50.4 IPS |
|
|
Style Transfer (HP)
|
100% |
86994
111.8 IPS |
|
|
Style Transfer (Q)
|
96% |
107446
138.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9174
338.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17707
653.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20234
747.1 IPS |
|
|
Text Classification (SP)
|
100% |
3437
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
6318
8.43 KIPS |
|
|
Text Classification (Q)
|
93% |
6380
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4788
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4888
84.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4866
84.1 IPS |
