iPhone18,2
Geekbench AI Score
5225
Single Precision Score
35878
Half Precision Score
48808
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 16 2025 04:03 AM |
| Views | 1 |
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% |
2332
433.7 IPS |
|
|
Image Classification (HP)
|
100% |
16068
2.99 KIPS |
|
|
Image Classification (Q)
|
97% |
20895
3.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2184
35.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19579
317.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24928
404.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10390
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
156781
182.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
297193
348.3 IPS |
|
|
Object Detection (SP)
|
100% |
2669
211.7 IPS |
|
|
Object Detection (HP)
|
100% |
17661
1.40 KIPS |
|
|
Object Detection (Q)
|
91% |
25035
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4656
55.3 IPS |
|
|
Face Detection (HP)
|
100% |
41010
487.3 IPS |
|
|
Face Detection (Q)
|
100% |
53215
632.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
8509
65.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
104131
802.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
167501
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
25383
32.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258495
332.3 IPS |
|
|
Style Transfer (Q)
|
96% |
351163
453.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5605
207.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56067
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85278
3.15 KIPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
5996
8.00 KIPS |
|
|
Text Classification (Q)
|
93% |
6029
8.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
5339
92.0 IPS |
|
|
Machine Translation (HP)
|
100% |
10933
188.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12302
212.6 IPS |
