iPhone18,2
Geekbench AI Score
5042
Single Precision Score
36446
Half Precision Score
49370
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 22 2025 05:12 PM |
| Views | 1 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2321
431.6 IPS |
|
|
Image Classification (HP)
|
100% |
17029
3.17 KIPS |
|
|
Image Classification (Q)
|
97% |
23454
4.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
19337
313.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24197
392.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9610
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
152991
178.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
279444
327.5 IPS |
|
|
Object Detection (SP)
|
100% |
2573
204.1 IPS |
|
|
Object Detection (HP)
|
100% |
17975
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25446
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4330
51.5 IPS |
|
|
Face Detection (HP)
|
100% |
40084
476.3 IPS |
|
|
Face Detection (Q)
|
100% |
55437
658.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8406
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
105388
812.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
165959
1.30 KIPS |
|
|
Style Transfer (SP)
|
100% |
24217
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
257171
330.6 IPS |
|
|
Style Transfer (Q)
|
96% |
352204
454.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5343
197.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56783
2.10 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
86706
3.20 KIPS |
|
|
Text Classification (SP)
|
100% |
3573
4.77 KIPS |
|
|
Text Classification (HP)
|
99% |
6499
8.67 KIPS |
|
|
Text Classification (Q)
|
93% |
6525
8.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5221
89.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11392
196.2 IPS |
|
|
Machine Translation (Q)
|
98% |
11629
201.0 IPS |
