iPhone18,2
Geekbench AI Score
4948
Single Precision Score
36232
Half Precision Score
49417
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 19 2025 07:52 PM |
| Views | 2 |
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 | 4.14 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2304
428.5 IPS |
|
|
Image Classification (HP)
|
100% |
16297
3.03 KIPS |
|
|
Image Classification (Q)
|
97% |
22639
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2181
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20150
326.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
24703
400.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
9692
11.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
153266
178.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
276354
323.9 IPS |
|
|
Object Detection (SP)
|
100% |
2533
200.9 IPS |
|
|
Object Detection (HP)
|
100% |
18039
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25189
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4123
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
40675
483.3 IPS |
|
|
Face Detection (Q)
|
100% |
56801
674.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8122
62.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104794
807.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
166832
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
23569
30.3 IPS |
|
|
Style Transfer (HP)
|
100% |
253071
325.3 IPS |
|
|
Style Transfer (Q)
|
96% |
344466
444.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5301
195.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56583
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84864
3.13 KIPS |
|
|
Text Classification (SP)
|
100% |
3552
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6328
8.45 KIPS |
|
|
Text Classification (Q)
|
93% |
6404
8.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
4801
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11118
191.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12577
217.3 IPS |
