iPhone18,2
Geekbench AI Score
5227
Single Precision Score
36315
Half Precision Score
48975
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | gnu08 |
| Upload Date | November 11 2025 11:56 PM |
| Views | 17 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
16170
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
21781
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2129
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20213
327.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25580
414.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10899
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
160427
187.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
298168
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
2702
214.3 IPS |
|
|
Object Detection (HP)
|
100% |
17657
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25334
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4709
55.9 IPS |
|
|
Face Detection (HP)
|
100% |
41104
488.4 IPS |
|
|
Face Detection (Q)
|
100% |
50235
596.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8705
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104776
807.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
171197
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
25641
33.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259199
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
354969
458.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5725
211.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56774
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85714
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3298
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6101
8.14 KIPS |
|
|
Text Classification (Q)
|
93% |
6019
8.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
5266
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11143
191.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11979
207.0 IPS |
