iPhone18,4
Geekbench AI Score
7357
Single Precision Score
15081
Half Precision Score
15253
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Aaronage |
| Upload Date | September 20 2025 11:25 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
3925
730.0 IPS |
|
|
Image Classification (HP)
|
100% |
7549
1.40 KIPS |
|
|
Image Classification (Q)
|
97% |
6931
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5351
86.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8832
143.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
9302
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
18000
21.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
48438
56.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
56672
66.4 IPS |
|
|
Object Detection (SP)
|
100% |
3951
313.4 IPS |
|
|
Object Detection (HP)
|
100% |
7613
603.8 IPS |
|
|
Object Detection (Q)
|
93% |
7172
572.2 IPS |
|
|
Face Detection (SP)
|
100% |
11077
131.6 IPS |
|
|
Face Detection (HP)
|
100% |
21756
258.5 IPS |
|
|
Face Detection (Q)
|
100% |
16147
191.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
15993
123.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
33540
258.4 IPS |
|
|
Depth Estimation (Q)
|
86% |
35511
277.3 IPS |
|
|
Style Transfer (SP)
|
100% |
33023
42.5 IPS |
|
|
Style Transfer (HP)
|
100% |
69945
89.9 IPS |
|
|
Style Transfer (Q)
|
96% |
80805
104.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7814
288.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17653
651.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19941
736.3 IPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6409
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6484
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
1936
33.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4289
73.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4342
75.0 IPS |
