iPhone18,2
Geekbench AI Score
5056
Single Precision Score
36182
Half Precision Score
48822
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Jeffnt326 |
| Upload Date | October 25 2025 03:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.5 IPS |
|
|
Image Classification (HP)
|
100% |
16251
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
21865
4.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2163
35.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20286
328.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
24566
398.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9816
11.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
151217
176.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
276097
323.6 IPS |
|
|
Object Detection (SP)
|
100% |
2549
202.2 IPS |
|
|
Object Detection (HP)
|
100% |
17646
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
24144
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
4548
54.0 IPS |
|
|
Face Detection (HP)
|
100% |
41142
488.9 IPS |
|
|
Face Detection (Q)
|
100% |
53121
631.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8441
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104236
803.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
162188
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24224
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
254350
327.0 IPS |
|
|
Style Transfer (Q)
|
96% |
353092
455.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5478
202.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55707
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87394
3.23 KIPS |
|
|
Text Classification (SP)
|
100% |
3538
4.72 KIPS |
|
|
Text Classification (HP)
|
99% |
6406
8.55 KIPS |
|
|
Text Classification (Q)
|
93% |
6492
8.71 KIPS |
|
|
Machine Translation (SP)
|
100% |
4790
82.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11232
193.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12452
215.2 IPS |
