iPhone18,2
Geekbench AI Score
5091
Single Precision Score
8314
Half Precision Score
6535
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | iPhil |
| Upload Date | October 18 2025 02:17 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 4.26 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
429.1 IPS |
|
|
Image Classification (HP)
|
100% |
3761
699.4 IPS |
|
|
Image Classification (Q)
|
96% |
2497
466.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2059
33.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2974
48.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3342
54.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10296
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
18681
21.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
15754
18.5 IPS |
|
|
Object Detection (SP)
|
100% |
2574
204.2 IPS |
|
|
Object Detection (HP)
|
97% |
4198
334.2 IPS |
|
|
Object Detection (Q)
|
94% |
2805
223.6 IPS |
|
|
Face Detection (SP)
|
100% |
4485
53.3 IPS |
|
|
Face Detection (HP)
|
100% |
8256
98.1 IPS |
|
|
Face Detection (Q)
|
100% |
4297
51.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8360
64.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
14034
108.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
9874
77.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24189
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
37625
48.4 IPS |
|
|
Style Transfer (Q)
|
96% |
30944
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5539
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6886
254.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4905
181.1 IPS |
|
|
Text Classification (SP)
|
100% |
3505
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6433
8.59 KIPS |
|
|
Text Classification (Q)
|
93% |
6431
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5286
91.1 IPS |
|
|
Machine Translation (HP)
|
98% |
9316
161.0 IPS |
|
|
Machine Translation (Q)
|
98% |
9304
160.8 IPS |
