iPhone18,1
Geekbench AI Score
4909
Single Precision Score
36055
Half Precision Score
49363
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 46fy45 |
| Upload Date | November 05 2025 03:09 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2310
429.6 IPS |
|
|
Image Classification (HP)
|
100% |
16649
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21884
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2040
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20246
328.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
24303
394.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9451
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
144871
169.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
271861
318.6 IPS |
|
|
Object Detection (SP)
|
100% |
2466
195.6 IPS |
|
|
Object Detection (HP)
|
100% |
17899
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25991
2.08 KIPS |
|
|
Face Detection (SP)
|
100% |
4217
50.1 IPS |
|
|
Face Detection (HP)
|
100% |
40500
481.2 IPS |
|
|
Face Detection (Q)
|
100% |
57573
684.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8229
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
103068
794.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
171186
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
23293
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
252002
324.0 IPS |
|
|
Style Transfer (Q)
|
96% |
345254
445.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5360
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56310
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84881
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3574
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6374
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6371
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4787
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11252
193.8 IPS |
|
|
Machine Translation (Q)
|
98% |
12424
214.7 IPS |
