iPhone18,2
Geekbench AI Score
5032
Single Precision Score
36112
Half Precision Score
48970
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 06:55 PM |
| Views | 3 |
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 | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2350
437.0 IPS |
|
|
Image Classification (HP)
|
100% |
16118
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
21967
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2142
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19958
323.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24728
400.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9570
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
151479
176.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
275104
322.4 IPS |
|
|
Object Detection (SP)
|
100% |
2482
196.8 IPS |
|
|
Object Detection (HP)
|
100% |
17461
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25566
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4397
52.2 IPS |
|
|
Face Detection (HP)
|
100% |
40895
485.9 IPS |
|
|
Face Detection (Q)
|
100% |
52784
627.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8332
64.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104405
804.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
165959
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23990
30.8 IPS |
|
|
Style Transfer (HP)
|
100% |
258414
332.2 IPS |
|
|
Style Transfer (Q)
|
96% |
349776
451.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5358
197.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55192
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84834
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3540
4.73 KIPS |
|
|
Text Classification (HP)
|
99% |
6553
8.75 KIPS |
|
|
Text Classification (Q)
|
93% |
6450
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5224
90.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11109
191.4 IPS |
|
|
Machine Translation (Q)
|
98% |
12382
214.0 IPS |
