iPhone18,2
Geekbench AI Score
5107
Single Precision Score
36342
Half Precision Score
49590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | jimscard |
| Upload Date | September 22 2025 08:46 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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2386
443.7 IPS |
|
|
Image Classification (HP)
|
100% |
16280
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22155
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2113
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19488
315.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25907
420.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10323
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
157513
183.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
285667
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2653
210.4 IPS |
|
|
Object Detection (HP)
|
100% |
17416
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25791
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4051
48.1 IPS |
|
|
Face Detection (HP)
|
100% |
40811
484.9 IPS |
|
|
Face Detection (Q)
|
100% |
55450
658.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8374
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
103357
796.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
171499
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24642
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
258621
332.5 IPS |
|
|
Style Transfer (Q)
|
96% |
351303
453.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5576
205.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
58453
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85856
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3533
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6503
8.68 KIPS |
|
|
Text Classification (Q)
|
93% |
6317
8.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
5309
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11137
191.8 IPS |
|
|
Machine Translation (Q)
|
98% |
11739
202.9 IPS |
