iPhone18,4
Geekbench AI Score
8026
Single Precision Score
15170
Half Precision Score
13899
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 05 2025 08:36 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3923
729.6 IPS |
|
|
Image Classification (HP)
|
100% |
7649
1.42 KIPS |
|
|
Image Classification (Q)
|
97% |
6880
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5348
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8867
143.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9299
150.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
18216
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
48807
57.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
57109
66.9 IPS |
|
|
Object Detection (SP)
|
100% |
3944
312.8 IPS |
|
|
Object Detection (HP)
|
100% |
7634
605.5 IPS |
|
|
Object Detection (Q)
|
93% |
7052
562.6 IPS |
|
|
Face Detection (SP)
|
100% |
10846
128.9 IPS |
|
|
Face Detection (HP)
|
100% |
21939
260.7 IPS |
|
|
Face Detection (Q)
|
100% |
16076
191.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
15967
123.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33615
259.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
35109
274.1 IPS |
|
|
Style Transfer (SP)
|
100% |
35211
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
73057
93.9 IPS |
|
|
Style Transfer (Q)
|
96% |
82642
106.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7922
292.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17774
656.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19583
723.1 IPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6427
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6386
8.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4347
74.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4152
71.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1791
31.0 IPS |
