iPhone18,1
Geekbench AI Score
5186
Single Precision Score
36227
Half Precision Score
48590
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | September 21 2025 11:33 PM |
| Views | 27 |
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% |
2338
434.8 IPS |
|
|
Image Classification (HP)
|
100% |
16649
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
21188
3.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2133
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19873
322.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25254
409.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10825
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160498
187.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
298731
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2667
211.5 IPS |
|
|
Object Detection (HP)
|
100% |
17763
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25000
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4686
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
40493
481.1 IPS |
|
|
Face Detection (Q)
|
100% |
51861
616.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8442
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104572
805.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
164439
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
24973
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259239
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351865
454.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5717
211.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56113
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83921
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3294
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6161
8.22 KIPS |
|
|
Text Classification (Q)
|
93% |
6075
8.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
5254
90.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10878
187.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12002
207.4 IPS |
