iPhone18,2
Geekbench AI Score
5081
Single Precision Score
35915
Half Precision Score
48971
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 11:02 PM |
| Views | 2 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2351
437.2 IPS |
|
|
Image Classification (HP)
|
100% |
16562
3.08 KIPS |
|
|
Image Classification (Q)
|
97% |
22455
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19391
314.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24711
400.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9801
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
153594
179.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
281113
329.5 IPS |
|
|
Object Detection (SP)
|
100% |
2607
206.8 IPS |
|
|
Object Detection (HP)
|
100% |
17352
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25260
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4444
52.8 IPS |
|
|
Face Detection (HP)
|
100% |
40742
484.1 IPS |
|
|
Face Detection (Q)
|
100% |
51605
613.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8511
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104512
805.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
170897
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
24768
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
257901
331.5 IPS |
|
|
Style Transfer (Q)
|
96% |
353421
456.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5666
209.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56594
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85616
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5999
8.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
5149
88.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11105
191.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12577
217.4 IPS |
