iPhone18,2
Geekbench AI Score
5149
Single Precision Score
36506
Half Precision Score
50003
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | December 16 2025 07:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| 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% |
2332
433.6 IPS |
|
|
Image Classification (HP)
|
100% |
16241
3.02 KIPS |
|
|
Image Classification (Q)
|
97% |
22324
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2122
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20522
332.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
25965
420.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10422
12.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
157155
183.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
297800
349.0 IPS |
|
|
Object Detection (SP)
|
100% |
2618
207.6 IPS |
|
|
Object Detection (HP)
|
100% |
17994
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25897
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
41450
492.5 IPS |
|
|
Face Detection (Q)
|
100% |
54889
652.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8438
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
105498
812.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
169527
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
24660
31.7 IPS |
|
|
Style Transfer (HP)
|
100% |
257137
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
353498
456.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5538
204.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56808
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85629
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (HP)
|
99% |
6353
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6471
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (HP)
|
100% |
10992
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
11993
207.3 IPS |
