iPhone18,1
Geekbench AI Score
5088
Single Precision Score
35853
Half Precision Score
49153
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Risto3 |
| Upload Date | September 26 2025 04:38 AM |
| Views | 9 |
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% |
2299
427.6 IPS |
|
|
Image Classification (HP)
|
100% |
16283
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
21847
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2126
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19446
315.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25552
414.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10506
12.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
159694
186.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298087
349.4 IPS |
|
|
Object Detection (SP)
|
100% |
2534
201.0 IPS |
|
|
Object Detection (HP)
|
100% |
17443
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
24287
1.94 KIPS |
|
|
Face Detection (SP)
|
100% |
4508
53.6 IPS |
|
|
Face Detection (HP)
|
100% |
40498
481.2 IPS |
|
|
Face Detection (Q)
|
100% |
55116
654.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8314
64.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
104619
806.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
175010
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
24547
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259579
333.7 IPS |
|
|
Style Transfer (Q)
|
96% |
349500
451.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5617
207.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55842
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86918
3.21 KIPS |
|
|
Text Classification (SP)
|
100% |
3447
4.60 KIPS |
|
|
Text Classification (HP)
|
99% |
6009
8.02 KIPS |
|
|
Text Classification (Q)
|
93% |
5990
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5026
86.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10783
185.7 IPS |
|
|
Machine Translation (Q)
|
98% |
11607
200.6 IPS |
