iPhone18,4
Geekbench AI Score
4855
Single Precision Score
35161
Half Precision Score
48532
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 07 2025 01:55 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2307
428.9 IPS |
|
|
Image Classification (HP)
|
100% |
15720
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
22346
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2093
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19458
315.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23878
387.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9484
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146223
170.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
277921
325.7 IPS |
|
|
Object Detection (SP)
|
100% |
2439
193.5 IPS |
|
|
Object Detection (HP)
|
100% |
17296
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24390
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4212
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
41152
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
52086
618.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8153
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
98649
760.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
169692
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
22885
29.4 IPS |
|
|
Style Transfer (HP)
|
100% |
255590
328.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350449
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5156
190.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58615
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86557
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3512
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6446
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6293
8.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4586
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
9525
164.1 IPS |
|
|
Machine Translation (Q)
|
98% |
11881
205.3 IPS |
