iPhone18,2
Geekbench AI Score
4940
Single Precision Score
36432
Half Precision Score
50679
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 20 2025 03:46 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2319
431.2 IPS |
|
|
Image Classification (HP)
|
100% |
17015
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
23895
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2101
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19650
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25081
406.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9538
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
148218
172.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285714
334.9 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
18103
1.44 KIPS |
|
|
Object Detection (Q)
|
91% |
25645
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4385
52.1 IPS |
|
|
Face Detection (HP)
|
100% |
40554
481.9 IPS |
|
|
Face Detection (Q)
|
100% |
56133
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8233
63.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
105012
809.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
176792
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
23444
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
251718
323.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352062
454.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5337
197.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56009
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
89386
3.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3565
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6606
8.82 KIPS |
|
|
Text Classification (Q)
|
93% |
6529
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
4668
80.4 IPS |
|
|
Machine Translation (HP)
|
100% |
11578
199.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12484
215.7 IPS |
