iPhone18,4
Geekbench AI Score
4956
Single Precision Score
34876
Half Precision Score
49018
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 21 2025 05:27 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 | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2265
421.2 IPS |
|
|
Image Classification (HP)
|
100% |
15133
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
22801
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2042
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19387
314.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24469
396.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10169
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
152376
177.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285520
334.6 IPS |
|
|
Object Detection (SP)
|
100% |
2519
199.8 IPS |
|
|
Object Detection (HP)
|
100% |
17349
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
23848
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
4130
49.1 IPS |
|
|
Face Detection (HP)
|
100% |
41273
490.4 IPS |
|
|
Face Detection (Q)
|
100% |
57537
683.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
7977
61.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
100532
774.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
162929
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23731
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
252071
324.0 IPS |
|
|
Style Transfer (Q)
|
96% |
348610
449.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5357
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55415
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85633
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3492
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
6327
8.44 KIPS |
|
|
Text Classification (Q)
|
93% |
6308
8.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5160
88.9 IPS |
|
|
Machine Translation (HP)
|
100% |
9361
161.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11943
206.4 IPS |
