iPhone18,4
Geekbench AI Score
5017
Single Precision Score
35171
Half Precision Score
48138
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 12:22 AM |
| 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% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
15754
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
21938
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2077
33.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19313
313.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24089
390.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9960
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
151552
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
286315
335.6 IPS |
|
|
Object Detection (SP)
|
100% |
2589
205.4 IPS |
|
|
Object Detection (HP)
|
100% |
17313
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24661
1.97 KIPS |
|
|
Face Detection (SP)
|
100% |
4371
51.9 IPS |
|
|
Face Detection (HP)
|
100% |
41097
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
51109
607.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8340
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
101261
780.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
162759
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23463
30.2 IPS |
|
|
Style Transfer (HP)
|
100% |
254390
327.0 IPS |
|
|
Style Transfer (Q)
|
96% |
351394
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5348
197.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55450
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81851
3.02 KIPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6336
8.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
5048
87.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9648
166.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11814
204.2 IPS |
