iPhone18,2
Geekbench AI Score
5165
Single Precision Score
35931
Half Precision Score
48342
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Skyforger |
| Upload Date | October 16 2025 08:08 PM |
| Views | 8 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2346
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
16045
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
20802
3.88 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20330
329.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25695
416.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10395
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
157860
184.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
297397
348.6 IPS |
|
|
Object Detection (SP)
|
100% |
2670
211.8 IPS |
|
|
Object Detection (HP)
|
100% |
17271
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25234
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4691
55.7 IPS |
|
|
Face Detection (HP)
|
100% |
40291
478.7 IPS |
|
|
Face Detection (Q)
|
100% |
49028
582.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8596
66.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
104783
807.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
165063
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
25100
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259735
333.9 IPS |
|
|
Style Transfer (Q)
|
96% |
353298
455.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5600
206.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56010
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85204
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3203
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
6062
8.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5991
8.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
5350
92.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10835
186.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11908
205.8 IPS |
