iPhone18,4
Geekbench AI Score
7516
Single Precision Score
15477
Half Precision Score
15479
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 01 2025 06:12 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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% |
3961
736.7 IPS |
|
|
Image Classification (HP)
|
100% |
7446
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6873
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5360
86.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8923
144.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9325
151.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
18212
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
49269
57.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
57189
67.0 IPS |
|
|
Object Detection (SP)
|
100% |
3956
313.8 IPS |
|
|
Object Detection (HP)
|
100% |
7643
606.2 IPS |
|
|
Object Detection (Q)
|
93% |
7171
572.1 IPS |
|
|
Face Detection (SP)
|
100% |
11043
131.2 IPS |
|
|
Face Detection (HP)
|
100% |
21868
259.8 IPS |
|
|
Face Detection (Q)
|
100% |
16236
192.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
16087
123.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
33994
261.9 IPS |
|
|
Depth Estimation (Q)
|
86% |
36005
281.1 IPS |
|
|
Style Transfer (SP)
|
100% |
39741
51.1 IPS |
|
|
Style Transfer (HP)
|
100% |
87587
112.6 IPS |
|
|
Style Transfer (Q)
|
96% |
84629
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8098
299.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17931
662.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19820
731.8 IPS |
|
|
Text Classification (SP)
|
100% |
3486
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6352
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6304
8.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1889
32.5 IPS |
|
|
Machine Translation (HP)
|
100% |
4252
73.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4863
84.0 IPS |
