iPhone18,2
Geekbench AI Score
5132
Single Precision Score
34907
Half Precision Score
48055
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 17 2025 08:48 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2262
420.6 IPS |
|
|
Image Classification (HP)
|
100% |
13941
2.59 KIPS |
|
|
Image Classification (Q)
|
97% |
20001
3.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2071
33.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
18905
306.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24840
402.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10572
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
156893
183.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
290859
340.9 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
15219
1.21 KIPS |
|
|
Object Detection (Q)
|
91% |
23374
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4497
53.4 IPS |
|
|
Face Detection (HP)
|
100% |
40948
486.6 IPS |
|
|
Face Detection (Q)
|
100% |
49583
589.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8644
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104958
808.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
164235
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24781
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
258995
332.9 IPS |
|
|
Style Transfer (Q)
|
96% |
353198
455.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5742
212.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56265
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86862
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3281
4.38 KIPS |
|
|
Text Classification (HP)
|
99% |
6220
8.30 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5361
92.4 IPS |
|
|
Machine Translation (HP)
|
100% |
10960
188.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12218
211.1 IPS |
