iPhone18,1
Geekbench AI Score
4894
Single Precision Score
35975
Half Precision Score
49236
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pixelcort |
| Upload Date | September 28 2025 03:54 AM |
| Views | 6 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2291
426.1 IPS |
|
|
Image Classification (HP)
|
100% |
16495
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
21184
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2158
35.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19693
319.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25367
411.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9517
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148153
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
273718
320.8 IPS |
|
|
Object Detection (SP)
|
100% |
2459
195.0 IPS |
|
|
Object Detection (HP)
|
100% |
17708
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25170
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4161
49.4 IPS |
|
|
Face Detection (HP)
|
100% |
40842
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
57486
683.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8035
61.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
103110
794.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
168380
1.32 KIPS |
|
|
Style Transfer (SP)
|
100% |
23669
30.4 IPS |
|
|
Style Transfer (HP)
|
100% |
252211
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
349074
450.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5280
194.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56551
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85119
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6343
8.47 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
4679
80.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11183
192.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12336
213.2 IPS |
