iPhone18,4
Geekbench AI Score
7561
Single Precision Score
13720
Half Precision Score
15184
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 17 2025 08:30 AM |
| Views | 4 |
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 | 4.26 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
729.5 IPS |
|
|
Image Classification (HP)
|
100% |
7404
1.38 KIPS |
|
|
Image Classification (Q)
|
97% |
6864
1.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5331
86.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
8798
142.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9263
150.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
17898
20.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
48145
56.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
56551
66.3 IPS |
|
|
Object Detection (SP)
|
100% |
3913
310.4 IPS |
|
|
Object Detection (HP)
|
100% |
7457
591.5 IPS |
|
|
Object Detection (Q)
|
93% |
7194
573.9 IPS |
|
|
Face Detection (SP)
|
100% |
10780
128.1 IPS |
|
|
Face Detection (HP)
|
100% |
21319
253.3 IPS |
|
|
Face Detection (Q)
|
100% |
15894
188.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15702
121.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
33318
256.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
33458
261.2 IPS |
|
|
Style Transfer (SP)
|
100% |
35250
45.3 IPS |
|
|
Style Transfer (HP)
|
100% |
81584
104.9 IPS |
|
|
Style Transfer (Q)
|
96% |
95018
122.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5722
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17487
645.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18413
679.9 IPS |
|
|
Text Classification (SP)
|
100% |
2795
3.73 KIPS |
|
|
Text Classification (HP)
|
99% |
5426
7.24 KIPS |
|
|
Text Classification (Q)
|
93% |
5643
7.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4370
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1839
31.7 IPS |
|
|
Machine Translation (Q)
|
98% |
4798
82.9 IPS |
