iPhone18,2
Geekbench AI Score
5144
Single Precision Score
36346
Half Precision Score
48773
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 06 2025 04:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2355
437.9 IPS |
|
|
Image Classification (HP)
|
100% |
16152
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21698
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2097
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20185
327.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24664
399.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10049
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
156294
182.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
295043
345.8 IPS |
|
|
Object Detection (SP)
|
100% |
2616
207.5 IPS |
|
|
Object Detection (HP)
|
100% |
17376
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25293
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4549
54.1 IPS |
|
|
Face Detection (HP)
|
100% |
41992
499.0 IPS |
|
|
Face Detection (Q)
|
100% |
49534
588.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8446
65.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104506
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170050
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24768
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258340
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350803
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56542
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86918
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3558
4.75 KIPS |
|
|
Text Classification (HP)
|
99% |
6441
8.60 KIPS |
|
|
Text Classification (Q)
|
93% |
6401
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
5252
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11006
189.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11603
200.5 IPS |
