iPhone18,1
Geekbench AI Score
4997
Single Precision Score
36275
Half Precision Score
49356
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Pijiuhua |
| Upload Date | November 04 2025 11:07 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2343
435.7 IPS |
|
|
Image Classification (HP)
|
100% |
16609
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22611
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2170
35.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19300
312.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24442
396.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9346
10.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
146403
170.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275395
322.8 IPS |
|
|
Object Detection (SP)
|
100% |
2467
195.7 IPS |
|
|
Object Detection (HP)
|
100% |
18019
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25669
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4205
50.0 IPS |
|
|
Face Detection (HP)
|
100% |
41080
488.1 IPS |
|
|
Face Detection (Q)
|
100% |
53568
636.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8376
64.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
105043
809.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167366
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
23963
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
257833
331.4 IPS |
|
|
Style Transfer (Q)
|
96% |
351916
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5448
201.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56538
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86382
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3429
4.58 KIPS |
|
|
Text Classification (HP)
|
99% |
6635
8.86 KIPS |
|
|
Text Classification (Q)
|
93% |
6434
8.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
5262
90.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11179
192.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12522
216.4 IPS |
