iPhone18,4
Geekbench AI Score
7367
Single Precision Score
15092
Half Precision Score
15393
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | checcobai |
| Upload Date | September 27 2025 10:01 PM |
| Views | 6 |
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% |
3947
734.1 IPS |
|
|
Image Classification (HP)
|
100% |
7593
1.41 KIPS |
|
|
Image Classification (Q)
|
97% |
6873
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5346
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8876
143.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9271
150.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18094
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48915
57.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
57192
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
3943
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
7648
606.7 IPS |
|
|
Object Detection (Q)
|
93% |
7168
571.8 IPS |
|
|
Face Detection (SP)
|
100% |
10993
130.6 IPS |
|
|
Face Detection (HP)
|
100% |
21843
259.5 IPS |
|
|
Face Detection (Q)
|
100% |
16133
191.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
16022
123.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
33358
257.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35578
277.8 IPS |
|
|
Style Transfer (SP)
|
100% |
35179
45.2 IPS |
|
|
Style Transfer (HP)
|
100% |
68862
88.5 IPS |
|
|
Style Transfer (Q)
|
96% |
81114
104.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7804
288.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17568
648.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19634
725.0 IPS |
|
|
Text Classification (SP)
|
100% |
3501
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6393
8.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4291
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4895
84.6 IPS |
