iPhone18,4
Geekbench AI Score
7266
Single Precision Score
15039
Half Precision Score
13950
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 04 2025 08:32 PM |
| Views | 7 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3974
739.0 IPS |
|
|
Image Classification (HP)
|
100% |
7436
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
7004
1.31 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5362
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8865
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9297
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18229
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49247
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
57168
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
3954
313.6 IPS |
|
|
Object Detection (HP)
|
100% |
7635
605.6 IPS |
|
|
Object Detection (Q)
|
93% |
7273
580.2 IPS |
|
|
Face Detection (SP)
|
100% |
11075
131.6 IPS |
|
|
Face Detection (HP)
|
100% |
21866
259.8 IPS |
|
|
Face Detection (Q)
|
100% |
16154
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
12913
99.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
31218
240.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
35045
273.6 IPS |
|
|
Style Transfer (SP)
|
100% |
33914
43.6 IPS |
|
|
Style Transfer (HP)
|
100% |
70665
90.8 IPS |
|
|
Style Transfer (Q)
|
96% |
83007
107.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7755
286.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17688
653.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19629
724.8 IPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6408
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
2003
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4301
74.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1745
30.2 IPS |
