iPhone18,2
Geekbench AI Score
4925
Single Precision Score
35477
Half Precision Score
49548
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 10:25 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2328
433.0 IPS |
|
|
Image Classification (HP)
|
100% |
16098
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22520
4.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2037
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19212
311.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
25064
406.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
9443
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
148600
173.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
272630
319.5 IPS |
|
|
Object Detection (SP)
|
100% |
2558
202.9 IPS |
|
|
Object Detection (HP)
|
100% |
17786
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
26130
2.09 KIPS |
|
|
Face Detection (SP)
|
100% |
4429
52.6 IPS |
|
|
Face Detection (HP)
|
100% |
40457
480.7 IPS |
|
|
Face Detection (Q)
|
100% |
54949
652.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8292
63.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
105115
809.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
164892
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
23743
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
258292
332.0 IPS |
|
|
Style Transfer (Q)
|
96% |
355399
458.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4554
168.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47741
1.76 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84840
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6626
8.84 KIPS |
|
|
Text Classification (Q)
|
93% |
6514
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5207
89.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11121
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12464
215.4 IPS |
