iPhone18,2
Geekbench AI Score
5116
Single Precision Score
36210
Half Precision Score
49281
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 19 2025 05:41 PM |
| Views | 3 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2360
439.0 IPS |
|
|
Image Classification (HP)
|
100% |
15973
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
21891
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20361
330.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24722
400.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10059
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153979
179.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
280725
329.0 IPS |
|
|
Object Detection (SP)
|
100% |
2579
204.6 IPS |
|
|
Object Detection (HP)
|
100% |
17364
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24882
1.99 KIPS |
|
|
Face Detection (SP)
|
100% |
4566
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
41227
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
56319
669.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8309
64.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104761
807.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164587
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24382
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257732
331.3 IPS |
|
|
Style Transfer (Q)
|
96% |
352344
454.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5443
201.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56190
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86289
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3528
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
6423
8.57 KIPS |
|
|
Text Classification (Q)
|
93% |
6379
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5230
90.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11095
191.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12434
214.9 IPS |
