iPhone18,1
Geekbench AI Score
5113
Single Precision Score
36540
Half Precision Score
50173
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | metadex |
| Upload Date | December 03 2025 03:31 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.4 IPS |
|
|
Image Classification (HP)
|
100% |
16375
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
22450
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2112
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19502
316.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25352
411.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9928
11.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
155721
181.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
295414
346.2 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
17977
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25301
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4474
53.2 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
54759
650.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8447
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105051
809.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
176635
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
24763
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258694
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
355578
458.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5622
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57909
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87320
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3542
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6627
8.85 KIPS |
|
|
Text Classification (Q)
|
93% |
6553
8.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11050
190.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12077
208.7 IPS |
