iPhone18,4
Geekbench AI Score
5123
Single Precision Score
8306
Half Precision Score
6552
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 28 2025 08:25 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2336
434.3 IPS |
|
|
Image Classification (HP)
|
100% |
3714
690.7 IPS |
|
|
Image Classification (Q)
|
96% |
2488
464.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2156
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
3027
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
3406
55.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10329
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
18598
21.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
15982
18.7 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
97% |
4111
327.3 IPS |
|
|
Object Detection (Q)
|
94% |
2798
223.0 IPS |
|
|
Face Detection (SP)
|
100% |
4314
51.3 IPS |
|
|
Face Detection (HP)
|
100% |
8042
95.6 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14176
109.6 IPS |
|
|
Depth Estimation (Q)
|
86% |
9998
78.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24804
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37652
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30994
40.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5656
208.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4919
181.6 IPS |
|
|
Text Classification (SP)
|
100% |
3530
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6405
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6363
8.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5290
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9528
164.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9235
159.6 IPS |
