iPhone18,4
Geekbench AI Score
5179
Single Precision Score
8491
Half Precision Score
6695
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 26 2025 07:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
3771
701.4 IPS |
|
|
Image Classification (Q)
|
96% |
2515
469.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3050
49.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3425
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
11050
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
19708
23.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
16953
19.9 IPS |
|
|
Object Detection (SP)
|
100% |
2578
204.5 IPS |
|
|
Object Detection (HP)
|
97% |
4214
335.5 IPS |
|
|
Object Detection (Q)
|
94% |
2869
228.7 IPS |
|
|
Face Detection (SP)
|
100% |
4469
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
8475
100.7 IPS |
|
|
Face Detection (Q)
|
100% |
4514
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8369
64.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
14354
111.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10181
79.5 IPS |
|
|
Style Transfer (SP)
|
100% |
24885
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38465
49.4 IPS |
|
|
Style Transfer (Q)
|
96% |
31728
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7007
258.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5046
186.3 IPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6410
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6374
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5298
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9704
167.7 IPS |
|
|
Machine Translation (Q)
|
98% |
9218
159.3 IPS |
