iPhone18,1
Geekbench AI Score
5233
Single Precision Score
36304
Half Precision Score
48954
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | PhillyBass |
| Upload Date | October 24 2025 11:19 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2330
433.2 IPS |
|
|
Image Classification (HP)
|
100% |
16085
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21675
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2152
34.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20468
331.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25319
410.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11069
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
160774
187.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
298685
350.1 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
18067
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25651
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4739
56.3 IPS |
|
|
Face Detection (HP)
|
100% |
40839
485.3 IPS |
|
|
Face Detection (Q)
|
100% |
50323
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8440
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104540
805.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
171438
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24575
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
259188
333.2 IPS |
|
|
Style Transfer (Q)
|
96% |
351146
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5835
215.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56687
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85588
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3360
4.48 KIPS |
|
|
Text Classification (HP)
|
99% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5980
8.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
5306
91.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11004
189.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12126
209.5 IPS |
