iPhone18,4
Geekbench AI Score
7324
Single Precision Score
14919
Half Precision Score
13911
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 13 2025 07:54 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3923
729.5 IPS |
|
|
Image Classification (HP)
|
100% |
7361
1.37 KIPS |
|
|
Image Classification (Q)
|
97% |
6861
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5344
86.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
8750
141.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
9294
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17400
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
47693
55.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
56312
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
3907
309.9 IPS |
|
|
Object Detection (HP)
|
100% |
7420
588.6 IPS |
|
|
Object Detection (Q)
|
93% |
7168
571.9 IPS |
|
|
Face Detection (SP)
|
100% |
10972
130.4 IPS |
|
|
Face Detection (HP)
|
100% |
21256
252.6 IPS |
|
|
Face Detection (Q)
|
100% |
16208
192.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
15703
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
32878
253.3 IPS |
|
|
Depth Estimation (Q)
|
86% |
34859
272.2 IPS |
|
|
Style Transfer (SP)
|
100% |
33967
43.7 IPS |
|
|
Style Transfer (HP)
|
100% |
70799
91.0 IPS |
|
|
Style Transfer (Q)
|
96% |
84897
109.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7983
294.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17360
641.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19852
733.0 IPS |
|
|
Text Classification (SP)
|
100% |
3504
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6474
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6385
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1905
32.8 IPS |
|
|
Machine Translation (HP)
|
100% |
4310
74.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1735
30.0 IPS |
