iPhone18,1
Geekbench AI Score
5053
Single Precision Score
36587
Half Precision Score
48994
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 07:03 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2361
439.0 IPS |
|
|
Image Classification (HP)
|
100% |
16645
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21777
4.06 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20241
328.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
24010
389.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9687
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
152753
178.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
277673
325.4 IPS |
|
|
Object Detection (SP)
|
100% |
2522
200.0 IPS |
|
|
Object Detection (HP)
|
100% |
17663
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25264
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4431
52.7 IPS |
|
|
Face Detection (HP)
|
100% |
41221
489.8 IPS |
|
|
Face Detection (Q)
|
100% |
51425
611.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8405
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105982
816.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
172299
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
23755
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
257406
330.9 IPS |
|
|
Style Transfer (Q)
|
96% |
351134
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5455
201.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57535
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86195
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3543
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6561
8.76 KIPS |
|
|
Text Classification (Q)
|
93% |
6553
8.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11139
191.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12365
213.7 IPS |
