iPhone18,2
Geekbench AI Score
5124
Single Precision Score
36289
Half Precision Score
49906
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | KenT7 |
| Upload Date | September 28 2025 08:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| 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% |
2327
432.8 IPS |
|
|
Image Classification (HP)
|
100% |
16150
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21107
3.94 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20487
332.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26085
422.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10196
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
158286
184.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297344
348.5 IPS |
|
|
Object Detection (SP)
|
100% |
2666
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
17442
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25707
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4599
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40655
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
56048
666.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8398
64.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104948
808.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
175277
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24431
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259073
333.0 IPS |
|
|
Style Transfer (Q)
|
96% |
350378
452.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5435
200.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55830
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86027
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6383
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5105
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11007
189.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12072
208.6 IPS |
