iPhone18,2
Geekbench AI Score
5158
Single Precision Score
36170
Half Precision Score
48252
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | Andrew67100 |
| Upload Date | October 08 2025 10:01 PM |
| Views | 10 |
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% |
2333
433.8 IPS |
|
|
Image Classification (HP)
|
100% |
16232
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
20836
3.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2098
34.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20200
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25568
414.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10807
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
160159
186.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297480
348.7 IPS |
|
|
Object Detection (SP)
|
100% |
2649
210.1 IPS |
|
|
Object Detection (HP)
|
100% |
17676
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25008
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4660
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40775
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
50336
598.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8609
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105106
809.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
162167
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
25152
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
260550
334.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350047
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5564
205.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56297
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86102
3.18 KIPS |
|
|
Text Classification (SP)
|
100% |
3191
4.26 KIPS |
|
|
Text Classification (HP)
|
99% |
6046
8.07 KIPS |
|
|
Text Classification (Q)
|
93% |
5893
7.91 KIPS |
|
|
Machine Translation (SP)
|
100% |
5320
91.6 IPS |
|
|
Machine Translation (HP)
|
100% |
10866
187.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11908
205.8 IPS |
