iPhone18,4
Geekbench AI Score
4775
Single Precision Score
7927
Half Precision Score
6182
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | VenomF5 |
| Upload Date | October 01 2025 06:03 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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% |
2326
432.5 IPS |
|
|
Image Classification (HP)
|
100% |
3754
698.1 IPS |
|
|
Image Classification (Q)
|
96% |
2440
455.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
2062
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3053
49.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3363
54.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9725
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
17619
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
15102
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
2487
197.3 IPS |
|
|
Object Detection (HP)
|
97% |
3893
309.9 IPS |
|
|
Object Detection (Q)
|
94% |
2581
205.7 IPS |
|
|
Face Detection (SP)
|
100% |
3750
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
7359
87.4 IPS |
|
|
Face Detection (Q)
|
100% |
3828
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7685
59.2 IPS |
|
|
Depth Estimation (HP)
|
97% |
13024
100.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
8935
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22355
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34893
44.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28540
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5266
194.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6788
250.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4803
177.3 IPS |
|
|
Text Classification (SP)
|
100% |
3545
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6530
8.72 KIPS |
|
|
Text Classification (Q)
|
93% |
6457
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4421
76.1 IPS |
|
|
Machine Translation (HP)
|
98% |
8411
145.3 IPS |
|
|
Machine Translation (Q)
|
98% |
8421
145.5 IPS |
