iPhone18,1
Geekbench AI Score
5209
Single Precision Score
36298
Half Precision Score
49080
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | neilco |
| Upload Date | September 21 2025 06:28 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2324
432.2 IPS |
|
|
Image Classification (HP)
|
100% |
16228
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21878
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2119
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20038
324.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25484
413.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11154
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
160243
187.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
299104
350.6 IPS |
|
|
Object Detection (SP)
|
100% |
2690
213.4 IPS |
|
|
Object Detection (HP)
|
100% |
17548
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25230
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4722
56.1 IPS |
|
|
Face Detection (HP)
|
100% |
40476
480.9 IPS |
|
|
Face Detection (Q)
|
100% |
49364
586.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8715
67.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104301
803.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
169482
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
25051
32.2 IPS |
|
|
Style Transfer (HP)
|
100% |
259346
333.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350978
452.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5638
208.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57320
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
88710
3.28 KIPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
6261
8.36 KIPS |
|
|
Text Classification (Q)
|
93% |
6139
8.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11052
190.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12056
208.3 IPS |
