iPhone18,2
Geekbench AI Score
5211
Single Precision Score
36216
Half Precision Score
49348
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 11:34 AM |
| Views | 3 |
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% |
2378
442.3 IPS |
|
|
Image Classification (HP)
|
100% |
16617
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
22741
4.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2195
35.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20079
325.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25658
415.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10489
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
160020
186.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
293390
343.9 IPS |
|
|
Object Detection (SP)
|
100% |
2696
213.8 IPS |
|
|
Object Detection (HP)
|
100% |
17423
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25220
2.02 KIPS |
|
|
Face Detection (SP)
|
100% |
4666
55.4 IPS |
|
|
Face Detection (HP)
|
100% |
40311
479.0 IPS |
|
|
Face Detection (Q)
|
100% |
54407
646.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8607
66.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
105176
810.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
163600
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
25141
32.3 IPS |
|
|
Style Transfer (HP)
|
100% |
259302
333.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351136
453.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5621
207.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57325
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85182
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3296
4.40 KIPS |
|
|
Text Classification (HP)
|
99% |
6026
8.04 KIPS |
|
|
Text Classification (Q)
|
93% |
5881
7.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
5357
92.3 IPS |
|
|
Machine Translation (HP)
|
100% |
10990
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12671
219.0 IPS |
