iPhone18,2
Geekbench AI Score
5168
Single Precision Score
36366
Half Precision Score
48592
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 03 2025 07:13 PM |
| Views | 6 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
16439
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
21943
4.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20099
325.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25599
415.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10668
12.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
160019
186.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297181
348.3 IPS |
|
|
Object Detection (SP)
|
100% |
2663
211.2 IPS |
|
|
Object Detection (HP)
|
100% |
17655
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25063
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4622
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
40700
483.6 IPS |
|
|
Face Detection (Q)
|
100% |
50316
597.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8610
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104807
807.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
160464
1.25 KIPS |
|
|
Style Transfer (SP)
|
100% |
25002
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259925
334.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351552
453.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5544
204.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57862
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85400
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3301
4.41 KIPS |
|
|
Text Classification (HP)
|
99% |
6104
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6051
8.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
5295
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11067
190.6 IPS |
|
|
Machine Translation (Q)
|
98% |
11960
206.7 IPS |
