iPhone18,2
Geekbench AI Score
5183
Single Precision Score
36101
Half Precision Score
49042
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | dwc22 |
| Upload Date | September 22 2025 01:44 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% |
2345
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
16029
2.98 KIPS |
|
|
Image Classification (Q)
|
97% |
21471
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2139
34.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
20031
324.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25957
420.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10381
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
159983
186.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
297731
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2647
210.0 IPS |
|
|
Object Detection (HP)
|
100% |
17849
1.42 KIPS |
|
|
Object Detection (Q)
|
91% |
25348
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4672
55.5 IPS |
|
|
Face Detection (HP)
|
100% |
40540
481.7 IPS |
|
|
Face Detection (Q)
|
100% |
52697
626.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8639
66.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104492
805.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
164069
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25223
32.4 IPS |
|
|
Style Transfer (HP)
|
100% |
258817
332.7 IPS |
|
|
Style Transfer (Q)
|
96% |
354425
457.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5643
208.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56437
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84917
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3320
4.43 KIPS |
|
|
Text Classification (HP)
|
99% |
6143
8.20 KIPS |
|
|
Text Classification (Q)
|
93% |
6132
8.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5329
91.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10792
185.9 IPS |
|
|
Machine Translation (Q)
|
98% |
11993
207.3 IPS |
