iPhone18,1
Geekbench AI Score
5001
Single Precision Score
36315
Half Precision Score
49690
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 06:49 AM |
| Views | 1 |
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 | 4.16 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2316
430.7 IPS |
|
|
Image Classification (HP)
|
100% |
16494
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22687
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2124
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19559
317.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
23800
385.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
9746
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151250
176.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
279992
328.2 IPS |
|
|
Object Detection (SP)
|
100% |
2561
203.1 IPS |
|
|
Object Detection (HP)
|
100% |
17592
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25554
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4322
51.4 IPS |
|
|
Face Detection (HP)
|
100% |
41127
488.7 IPS |
|
|
Face Detection (Q)
|
100% |
56945
676.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8323
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105236
810.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
167618
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24155
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258068
331.7 IPS |
|
|
Style Transfer (Q)
|
96% |
351910
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5456
201.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58215
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87108
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6402
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6424
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4704
81.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11166
192.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12640
218.4 IPS |
