iPhone18,1
Geekbench AI Score
5206
Single Precision Score
36073
Half Precision Score
49197
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 14 2025 03:46 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2334
434.0 IPS |
|
|
Image Classification (HP)
|
100% |
16045
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21454
4.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2116
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19971
323.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25217
408.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10692
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
160400
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297784
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
17512
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
24799
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4697
55.8 IPS |
|
|
Face Detection (HP)
|
100% |
41183
489.3 IPS |
|
|
Face Detection (Q)
|
100% |
56787
674.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8623
66.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103772
799.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
163017
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25332
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258583
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350828
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5715
211.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55915
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85559
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3299
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6084
8.12 KIPS |
|
|
Text Classification (Q)
|
93% |
6084
8.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
5301
91.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11028
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12298
212.5 IPS |
