iPhone18,2
Geekbench AI Score
5174
Single Precision Score
36025
Half Precision Score
49263
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | ThetSaw |
| Upload Date | September 21 2025 06:52 AM |
| 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% |
2345
436.1 IPS |
|
|
Image Classification (HP)
|
100% |
16155
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
20953
3.91 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20193
327.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
26270
425.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10305
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
159778
186.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297532
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2644
209.7 IPS |
|
|
Object Detection (HP)
|
100% |
17508
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25254
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4618
54.9 IPS |
|
|
Face Detection (HP)
|
100% |
40602
482.4 IPS |
|
|
Face Detection (Q)
|
100% |
52050
618.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8603
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104572
805.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
167067
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25004
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
259095
333.1 IPS |
|
|
Style Transfer (Q)
|
96% |
351194
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5611
207.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55465
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
87242
3.22 KIPS |
|
|
Text Classification (SP)
|
100% |
3508
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6105
8.15 KIPS |
|
|
Text Classification (Q)
|
93% |
6344
8.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
5235
90.2 IPS |
|
|
Machine Translation (HP)
|
100% |
10831
186.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12044
208.1 IPS |
