iPhone18,1
Geekbench AI Score
5061
Single Precision Score
36420
Half Precision Score
49456
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 11:02 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| 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% |
2292
426.3 IPS |
|
|
Image Classification (HP)
|
100% |
15904
2.96 KIPS |
|
|
Image Classification (Q)
|
97% |
22472
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2099
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20668
335.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24655
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9734
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153055
178.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
288364
338.0 IPS |
|
|
Object Detection (SP)
|
100% |
2546
202.0 IPS |
|
|
Object Detection (HP)
|
100% |
17357
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25349
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4442
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
41113
488.5 IPS |
|
|
Face Detection (Q)
|
100% |
54150
643.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8427
64.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
104904
808.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
167969
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24316
31.3 IPS |
|
|
Style Transfer (HP)
|
100% |
257235
330.7 IPS |
|
|
Style Transfer (Q)
|
96% |
350393
452.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5375
198.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56327
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87710
3.24 KIPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6691
8.93 KIPS |
|
|
Text Classification (Q)
|
93% |
6425
8.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
5313
91.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11248
193.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12037
208.0 IPS |
