iPhone18,1
Geekbench AI Score
5082
Single Precision Score
35888
Half Precision Score
49389
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | vincentlee |
| Upload Date | September 20 2025 04:55 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2336
434.4 IPS |
|
|
Image Classification (HP)
|
100% |
16108
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22378
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2096
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20322
329.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25061
406.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9855
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
150072
175.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
283347
332.1 IPS |
|
|
Object Detection (SP)
|
100% |
2604
206.6 IPS |
|
|
Object Detection (HP)
|
100% |
17315
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25031
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4537
53.9 IPS |
|
|
Face Detection (HP)
|
100% |
40356
479.5 IPS |
|
|
Face Detection (Q)
|
100% |
53962
641.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104842
807.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
173159
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24425
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258100
331.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350466
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5624
207.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56693
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85250
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3266
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6043
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
6166
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
5274
90.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11138
191.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12613
218.0 IPS |
