iPhone18,4
Geekbench AI Score
5162
Single Precision Score
35071
Half Precision Score
48340
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | November 01 2025 07:39 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2352
437.4 IPS |
|
|
Image Classification (HP)
|
100% |
14681
2.73 KIPS |
|
|
Image Classification (Q)
|
97% |
22222
4.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19547
316.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25234
409.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10694
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
159856
186.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
298411
349.8 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
100% |
17284
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24559
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4433
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
39996
475.2 IPS |
|
|
Face Detection (Q)
|
100% |
50657
601.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8556
65.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103723
799.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
157625
1.23 KIPS |
|
|
Style Transfer (SP)
|
100% |
25008
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259298
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
354988
458.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55105
2.03 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
80880
2.99 KIPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6413
8.56 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5117
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9340
160.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11555
199.7 IPS |
