iPhone18,1
Geekbench AI Score
5193
Single Precision Score
36341
Half Precision Score
49787
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2337
434.6 IPS |
|
|
Image Classification (HP)
|
100% |
16159
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22490
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20487
332.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25922
420.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10865
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
159948
186.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
294432
345.1 IPS |
|
|
Object Detection (SP)
|
100% |
2647
209.9 IPS |
|
|
Object Detection (HP)
|
100% |
17231
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25514
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4642
55.2 IPS |
|
|
Face Detection (HP)
|
100% |
40706
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
55643
661.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8576
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104811
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
169774
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25112
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
260021
334.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351287
453.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5667
209.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58433
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85919
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3346
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5176
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11051
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12512
216.2 IPS |
