iPhone18,1
Geekbench AI Score
5068
Single Precision Score
36361
Half Precision Score
49305
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 13 2025 08:36 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2371
441.0 IPS |
|
|
Image Classification (HP)
|
100% |
16182
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21637
4.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20478
332.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
25271
409.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9573
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
153026
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
285746
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2525
200.3 IPS |
|
|
Object Detection (HP)
|
100% |
17293
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25592
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4262
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
41057
487.9 IPS |
|
|
Face Detection (Q)
|
100% |
50412
599.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8425
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104759
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171669
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24407
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
256414
329.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350628
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5542
204.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57155
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85015
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6626
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6578
8.83 KIPS |
|
|
Machine Translation (SP)
|
100% |
5358
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11031
190.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12515
216.3 IPS |
