iPhone18,2
Geekbench AI Score
4853
Single Precision Score
35948
Half Precision Score
48889
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 12 2025 04:39 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.15 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.34 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2273
422.8 IPS |
|
|
Image Classification (HP)
|
100% |
16384
3.05 KIPS |
|
|
Image Classification (Q)
|
97% |
21805
4.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2045
33.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19825
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24613
399.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9388
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
146956
171.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
276904
324.5 IPS |
|
|
Object Detection (SP)
|
100% |
2443
193.8 IPS |
|
|
Object Detection (HP)
|
100% |
17764
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
25078
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4196
49.9 IPS |
|
|
Face Detection (HP)
|
100% |
40856
485.5 IPS |
|
|
Face Detection (Q)
|
100% |
58138
690.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8218
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104907
808.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
160536
1.26 KIPS |
|
|
Style Transfer (SP)
|
100% |
23696
30.5 IPS |
|
|
Style Transfer (HP)
|
100% |
251906
323.8 IPS |
|
|
Style Transfer (Q)
|
96% |
332827
429.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5131
189.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55864
2.06 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84066
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3507
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6352
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
4626
79.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11035
190.1 IPS |
|
|
Machine Translation (Q)
|
98% |
12619
218.1 IPS |
