iPhone18,2
Geekbench AI Score
5082
Single Precision Score
36161
Half Precision Score
49720
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 24 2025 08:40 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2307
429.0 IPS |
|
|
Image Classification (HP)
|
100% |
15709
2.92 KIPS |
|
|
Image Classification (Q)
|
97% |
22737
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2110
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20474
331.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25953
420.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10267
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
158473
184.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
296793
347.9 IPS |
|
|
Object Detection (SP)
|
100% |
2555
202.7 IPS |
|
|
Object Detection (HP)
|
100% |
17377
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24355
1.95 KIPS |
|
|
Face Detection (SP)
|
100% |
4569
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
42314
502.8 IPS |
|
|
Face Detection (Q)
|
100% |
60810
722.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8356
64.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105122
809.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
168877
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24245
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
258289
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
349732
451.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5449
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55724
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84539
3.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3472
4.63 KIPS |
|
|
Text Classification (HP)
|
99% |
6130
8.18 KIPS |
|
|
Text Classification (Q)
|
93% |
6093
8.18 KIPS |
|
|
Machine Translation (SP)
|
100% |
5145
88.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11000
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11702
202.2 IPS |
