iPhone18,2
Geekbench AI Score
5094
Single Precision Score
35971
Half Precision Score
49298
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | thecalesugg |
| Upload Date | September 20 2025 05:15 AM |
| Views | 16 |
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% |
2323
432.1 IPS |
|
|
Image Classification (HP)
|
100% |
16649
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21502
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2048
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19945
323.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
25927
420.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10406
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
146068
170.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
298082
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
17777
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
24801
1.98 KIPS |
|
|
Face Detection (SP)
|
100% |
4624
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
40697
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
53264
632.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8409
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105451
812.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168326
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24495
31.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259346
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
352301
454.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5606
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55903
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86088
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3275
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6122
8.17 KIPS |
|
|
Text Classification (Q)
|
93% |
6278
8.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11043
190.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12052
208.3 IPS |
