iPhone18,2
Geekbench AI Score
5191
Single Precision Score
36393
Half Precision Score
50005
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | caramelbeard |
| Upload Date | December 12 2025 05:07 PM |
| Views | 4 |
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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2344
435.8 IPS |
|
|
Image Classification (HP)
|
100% |
16079
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
22403
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20038
324.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25402
411.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10412
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
155856
181.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297248
348.4 IPS |
|
|
Object Detection (SP)
|
100% |
2707
214.7 IPS |
|
|
Object Detection (HP)
|
100% |
18013
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25112
2.01 KIPS |
|
|
Face Detection (SP)
|
100% |
4625
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
41261
490.3 IPS |
|
|
Face Detection (Q)
|
100% |
57635
684.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8468
65.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
105008
809.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
166783
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24545
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258569
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350535
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5629
207.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56533
2.09 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85371
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
6398
8.54 KIPS |
|
|
Text Classification (Q)
|
93% |
6510
8.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
11122
191.6 IPS |
|
|
Machine Translation (Q)
|
98% |
12289
212.4 IPS |
