iPhone18,2
Geekbench AI Score
5118
Single Precision Score
35874
Half Precision Score
49379
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | October 04 2025 09:00 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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2345
436.0 IPS |
|
|
Image Classification (HP)
|
100% |
16063
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
21691
4.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2111
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19981
323.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25477
413.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
10162
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
157112
183.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
284575
333.5 IPS |
|
|
Object Detection (SP)
|
100% |
2622
208.0 IPS |
|
|
Object Detection (HP)
|
100% |
17230
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25379
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4568
54.3 IPS |
|
|
Face Detection (HP)
|
100% |
40763
484.4 IPS |
|
|
Face Detection (Q)
|
100% |
53246
632.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8531
65.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
104563
805.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170017
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24865
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
259664
333.8 IPS |
|
|
Style Transfer (Q)
|
96% |
350801
452.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5526
204.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56565
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85519
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5853
7.81 KIPS |
|
|
Text Classification (Q)
|
93% |
6375
8.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
5387
92.8 IPS |
|
|
Machine Translation (HP)
|
100% |
11090
191.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12474
215.6 IPS |
