iPhone18,1
Geekbench AI Score
4849
Single Precision Score
36037
Half Precision Score
49797
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | tboneuk1691 |
| Upload Date | November 18 2025 05:43 PM |
| 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 | 4.21 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
17007
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22780
4.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2021
32.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
18547
300.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
26484
429.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8674
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
144780
168.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
276868
324.5 IPS |
|
|
Object Detection (SP)
|
100% |
2393
189.8 IPS |
|
|
Object Detection (HP)
|
100% |
18069
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25193
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4024
47.8 IPS |
|
|
Face Detection (HP)
|
100% |
41155
489.0 IPS |
|
|
Face Detection (Q)
|
100% |
57681
685.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8176
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104822
807.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
163688
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23582
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257822
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351222
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5299
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56260
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84068
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3510
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6430
8.58 KIPS |
|
|
Text Classification (Q)
|
93% |
6451
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5192
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11128
191.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12391
214.1 IPS |
