iPhone18,1
Geekbench AI Score
5105
Single Precision Score
36179
Half Precision Score
49208
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 11 2025 03:32 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| 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% |
2342
435.5 IPS |
|
|
Image Classification (HP)
|
100% |
16241
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22685
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2105
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19988
324.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24694
400.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
10087
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
154418
180.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
285032
334.1 IPS |
|
|
Object Detection (SP)
|
100% |
2650
210.2 IPS |
|
|
Object Detection (HP)
|
100% |
17661
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25541
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4524
53.8 IPS |
|
|
Face Detection (HP)
|
100% |
40825
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
50446
599.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8508
65.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
104723
806.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
174123
1.36 KIPS |
|
|
Style Transfer (SP)
|
100% |
24697
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
259092
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351831
454.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5685
209.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57191
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85784
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3287
4.39 KIPS |
|
|
Text Classification (HP)
|
99% |
6094
8.13 KIPS |
|
|
Text Classification (Q)
|
93% |
6150
8.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
5140
88.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11244
193.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12521
216.4 IPS |
