iPhone18,1
Geekbench AI Score
5142
Single Precision Score
8386
Half Precision Score
6623
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | November 25 2025 02:36 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.1 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| 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 | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2333
433.9 IPS |
|
|
Image Classification (HP)
|
100% |
3741
695.7 IPS |
|
|
Image Classification (Q)
|
96% |
2490
464.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2114
34.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
3035
49.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3422
55.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
10733
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
19315
22.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
16503
19.3 IPS |
|
|
Object Detection (SP)
|
100% |
2630
208.6 IPS |
|
|
Object Detection (HP)
|
97% |
4199
334.3 IPS |
|
|
Object Detection (Q)
|
94% |
2890
230.4 IPS |
|
|
Face Detection (SP)
|
100% |
4629
55.0 IPS |
|
|
Face Detection (HP)
|
100% |
8542
101.5 IPS |
|
|
Face Detection (Q)
|
100% |
4474
53.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8290
63.9 IPS |
|
|
Depth Estimation (HP)
|
97% |
14235
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10143
79.2 IPS |
|
|
Style Transfer (SP)
|
100% |
24776
31.8 IPS |
|
|
Style Transfer (HP)
|
100% |
37996
48.8 IPS |
|
|
Style Transfer (Q)
|
96% |
31219
40.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5547
204.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6942
256.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4957
183.0 IPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
6205
8.28 KIPS |
|
|
Text Classification (Q)
|
93% |
6062
8.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
5302
91.3 IPS |
|
|
Machine Translation (HP)
|
98% |
9389
162.2 IPS |
|
|
Machine Translation (Q)
|
98% |
9388
162.2 IPS |
