iPhone18,4
Geekbench AI Score
4794
Single Precision Score
34604
Half Precision Score
48223
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 09:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2313
430.1 IPS |
|
|
Image Classification (HP)
|
100% |
15117
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
22519
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2014
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19358
313.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23328
378.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9324
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
148074
172.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
270069
316.5 IPS |
|
|
Object Detection (SP)
|
100% |
2374
188.3 IPS |
|
|
Object Detection (HP)
|
100% |
17525
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24585
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3996
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
40122
476.7 IPS |
|
|
Face Detection (Q)
|
100% |
53567
636.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7936
61.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
97360
750.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
168026
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
22432
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
249491
320.7 IPS |
|
|
Style Transfer (Q)
|
96% |
347070
447.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5359
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54043
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81638
3.01 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6425
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6411
8.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4653
80.2 IPS |
|
|
Machine Translation (HP)
|
100% |
9582
165.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11926
206.1 IPS |
