iPhone18,1
Geekbench AI Score
5151
Single Precision Score
35945
Half Precision Score
49375
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 10:45 PM |
| Views | 1 |
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% |
2340
435.1 IPS |
|
|
Image Classification (HP)
|
100% |
16054
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22005
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2057
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20600
333.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25777
417.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10154
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154731
180.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
295183
346.0 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
17088
1.36 KIPS |
|
|
Object Detection (Q)
|
91% |
25049
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
41126
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
53280
633.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104866
807.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
160572
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
24988
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257767
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
354577
457.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5603
206.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56100
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85659
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3546
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6033
8.05 KIPS |
|
|
Text Classification (Q)
|
93% |
6353
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10947
188.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12439
215.0 IPS |
