iPhone18,1
Geekbench AI Score
4915
Single Precision Score
36003
Half Precision Score
49830
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | October 12 2025 05:52 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2286
425.1 IPS |
|
|
Image Classification (HP)
|
100% |
16540
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
21664
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2030
32.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
19797
320.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25535
413.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9511
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
147598
172.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297226
348.4 IPS |
|
|
Object Detection (SP)
|
100% |
2468
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
17703
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25942
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4166
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
40636
482.8 IPS |
|
|
Face Detection (Q)
|
100% |
56477
671.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8238
63.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105107
809.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
172990
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23742
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259440
333.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351158
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5199
192.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55269
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85812
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3483
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6387
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6263
8.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
5121
88.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10935
188.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12003
207.4 IPS |
