iPhone18,1
Geekbench AI Score
5084
Single Precision Score
36310
Half Precision Score
50425
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | bgh0809 |
| Upload Date | November 19 2025 09:58 PM |
| Views | 6 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
16597
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22688
4.23 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2089
33.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20021
324.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
26137
423.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10216
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
153775
179.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
294947
345.7 IPS |
|
|
Object Detection (SP)
|
100% |
2612
207.2 IPS |
|
|
Object Detection (HP)
|
100% |
17607
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25464
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
40989
487.0 IPS |
|
|
Face Detection (Q)
|
100% |
58470
694.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8277
63.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104706
806.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
172316
1.35 KIPS |
|
|
Style Transfer (SP)
|
100% |
24120
31.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257282
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
347894
448.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5336
197.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55667
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86349
3.19 KIPS |
|
|
Text Classification (SP)
|
100% |
3525
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
6365
8.50 KIPS |
|
|
Text Classification (Q)
|
93% |
6482
8.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
5316
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
11319
195.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12164
210.2 IPS |
