iPhone18,4
Geekbench AI Score
4937
Single Precision Score
35061
Half Precision Score
47802
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:21 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
14615
2.72 KIPS |
|
|
Image Classification (Q)
|
97% |
21285
3.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2083
33.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
19687
319.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23098
374.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9524
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
153212
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285907
335.1 IPS |
|
|
Object Detection (SP)
|
100% |
2485
197.1 IPS |
|
|
Object Detection (HP)
|
100% |
17473
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24311
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4272
50.8 IPS |
|
|
Face Detection (HP)
|
100% |
41201
489.6 IPS |
|
|
Face Detection (Q)
|
100% |
52803
627.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8274
63.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101353
780.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
159129
1.24 KIPS |
|
|
Style Transfer (SP)
|
100% |
24029
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
256911
330.3 IPS |
|
|
Style Transfer (Q)
|
96% |
353232
455.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5440
200.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54964
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81063
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6403
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6399
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4642
80.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9653
166.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11841
204.6 IPS |
