iPhone18,1
Geekbench AI Score
5034
Single Precision Score
35950
Half Precision Score
48890
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 01:28 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
15875
2.95 KIPS |
|
|
Image Classification (Q)
|
97% |
21919
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20129
326.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25571
414.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9737
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153581
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
282318
330.9 IPS |
|
|
Object Detection (SP)
|
100% |
2585
205.0 IPS |
|
|
Object Detection (HP)
|
100% |
17338
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24882
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4466
53.1 IPS |
|
|
Face Detection (HP)
|
100% |
41197
489.5 IPS |
|
|
Face Detection (Q)
|
100% |
55623
660.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8339
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104345
803.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
169269
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24008
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
255713
328.7 IPS |
|
|
Style Transfer (Q)
|
96% |
349066
450.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57252
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83894
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3424
4.57 KIPS |
|
|
Text Classification (HP)
|
99% |
6238
8.33 KIPS |
|
|
Text Classification (Q)
|
93% |
6078
8.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
5183
89.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10795
186.0 IPS |
|
|
Machine Translation (Q)
|
98% |
11825
204.3 IPS |
