iPhone18,4
Geekbench AI Score
2111
Single Precision Score
3460
Half Precision Score
2671
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Khoushik435 |
| Upload Date | October 19 2025 05:59 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,4 |
| Model ID | iPhone18,4 |
| Motherboard | D23AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 1.60 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
931
173.1 IPS |
|
|
Image Classification (HP)
|
100% |
1467
272.9 IPS |
|
|
Image Classification (Q)
|
96% |
956
178.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
729
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1348
21.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1378
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4530
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
8082
9.43 IPS |
|
|
Pose Estimation (Q)
|
95% |
6865
8.05 IPS |
|
|
Object Detection (SP)
|
100% |
1106
87.7 IPS |
|
|
Object Detection (HP)
|
97% |
1696
135.0 IPS |
|
|
Object Detection (Q)
|
94% |
1144
91.2 IPS |
|
|
Face Detection (SP)
|
100% |
1825
21.7 IPS |
|
|
Face Detection (HP)
|
100% |
3302
39.2 IPS |
|
|
Face Detection (Q)
|
100% |
1722
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3687
28.4 IPS |
|
|
Depth Estimation (HP)
|
97% |
6036
46.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
4152
32.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10372
13.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15855
20.4 IPS |
|
|
Style Transfer (Q)
|
96% |
12897
16.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2436
90.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2994
110.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2101
77.6 IPS |
|
|
Text Classification (SP)
|
100% |
1385
1.85 KIPS |
|
|
Text Classification (HP)
|
99% |
2502
3.34 KIPS |
|
|
Text Classification (Q)
|
93% |
2496
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
2202
37.9 IPS |
|
|
Machine Translation (HP)
|
98% |
3835
66.3 IPS |
|
|
Machine Translation (Q)
|
98% |
3699
63.9 IPS |
