iPhone18,4
Geekbench AI Score
4572
Single Precision Score
34374
Half Precision Score
48092
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | December 04 2025 09:16 AM |
| Views | 10 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.3 IPS |
|
|
Image Classification (HP)
|
100% |
15097
2.81 KIPS |
|
|
Image Classification (Q)
|
97% |
22376
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2025
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18999
308.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
23838
386.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
142816
166.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
276715
324.3 IPS |
|
|
Object Detection (SP)
|
100% |
2178
172.8 IPS |
|
|
Object Detection (HP)
|
100% |
17270
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
24476
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
3502
41.6 IPS |
|
|
Face Detection (HP)
|
100% |
40781
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
52316
621.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
7712
59.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
97108
748.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
165725
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
21688
27.9 IPS |
|
|
Style Transfer (HP)
|
100% |
250049
321.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350543
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4723
174.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
53237
1.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86441
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6394
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6232
8.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4509
77.7 IPS |
|
|
Machine Translation (HP)
|
100% |
9658
166.4 IPS |
|
|
Machine Translation (Q)
|
98% |
11191
193.4 IPS |
