iPhone18,1
Geekbench AI Score
5166
Single Precision Score
36334
Half Precision Score
48805
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Gamepak40 |
| Upload Date | October 21 2025 12:04 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2360
438.9 IPS |
|
|
Image Classification (HP)
|
100% |
16127
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22331
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20004
324.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25437
412.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10480
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
156640
182.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
289644
339.5 IPS |
|
|
Object Detection (SP)
|
100% |
2656
210.7 IPS |
|
|
Object Detection (HP)
|
100% |
17506
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25054
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4631
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
41096
488.3 IPS |
|
|
Face Detection (Q)
|
100% |
52768
627.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8566
66.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
106739
822.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163206
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25198
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
260149
334.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350838
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5687
210.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57937
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86095
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
6134
8.19 KIPS |
|
|
Text Classification (Q)
|
93% |
6062
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5285
91.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11178
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11796
203.8 IPS |
