iPhone18,1
Geekbench AI Score
5138
Single Precision Score
36346
Half Precision Score
49739
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 06:22 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2348
436.6 IPS |
|
|
Image Classification (HP)
|
100% |
16159
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22015
4.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20366
330.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
25261
409.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10183
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
158282
184.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
285150
334.2 IPS |
|
|
Object Detection (SP)
|
100% |
2639
209.3 IPS |
|
|
Object Detection (HP)
|
100% |
17541
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25200
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4603
54.7 IPS |
|
|
Face Detection (HP)
|
100% |
40263
478.4 IPS |
|
|
Face Detection (Q)
|
100% |
55213
656.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8131
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104601
805.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
163593
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
24267
31.2 IPS |
|
|
Style Transfer (HP)
|
100% |
257206
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
351423
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5614
207.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57181
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
91839
3.39 KIPS |
|
|
Text Classification (SP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
6447
8.61 KIPS |
|
|
Text Classification (Q)
|
93% |
6459
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
5190
89.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11027
189.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12319
212.9 IPS |
