iPhone18,3
Geekbench AI Score
4578
Single Precision Score
35178
Half Precision Score
48404
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:14 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,3 |
| Model ID | iPhone18,3 |
| Motherboard | V57AP |
| 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 | 7.49 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2163
402.3 IPS |
|
|
Image Classification (HP)
|
100% |
15732
2.93 KIPS |
|
|
Image Classification (Q)
|
97% |
22118
4.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
18493
299.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
23258
377.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
8912
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
145535
169.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
280293
328.5 IPS |
|
|
Object Detection (SP)
|
100% |
2421
192.1 IPS |
|
|
Object Detection (HP)
|
100% |
17308
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25264
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
3506
41.7 IPS |
|
|
Face Detection (HP)
|
100% |
39628
470.9 IPS |
|
|
Face Detection (Q)
|
100% |
50379
598.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8133
62.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
101210
779.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162093
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
21362
27.5 IPS |
|
|
Style Transfer (HP)
|
100% |
247805
318.6 IPS |
|
|
Style Transfer (Q)
|
96% |
344798
444.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5140
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57234
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84921
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3511
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6512
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6567
8.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
4278
73.7 IPS |
|
|
Machine Translation (HP)
|
100% |
10693
184.2 IPS |
|
|
Machine Translation (Q)
|
98% |
12345
213.3 IPS |
