iPhone18,2
Geekbench AI Score
5163
Single Precision Score
36062
Half Precision Score
48715
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Oleksandr |
| Upload Date | December 10 2025 04:29 PM |
| Views | 11 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2329
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
15979
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
20804
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2136
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20151
326.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25530
413.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10960
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
160496
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298230
349.5 IPS |
|
|
Object Detection (SP)
|
100% |
2651
210.3 IPS |
|
|
Object Detection (HP)
|
100% |
17498
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25231
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4657
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41232
489.9 IPS |
|
|
Face Detection (Q)
|
100% |
50130
595.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8382
64.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104309
803.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
168959
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
24426
31.4 IPS |
|
|
Style Transfer (HP)
|
100% |
259991
334.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351191
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5548
204.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55574
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85371
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3344
4.46 KIPS |
|
|
Text Classification (HP)
|
99% |
6148
8.21 KIPS |
|
|
Text Classification (Q)
|
93% |
6213
8.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
5265
90.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10769
185.5 IPS |
|
|
Machine Translation (Q)
|
98% |
11938
206.3 IPS |
