iPhone18,1
Geekbench AI Score
5197
Single Precision Score
8397
Half Precision Score
6685
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 09:45 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.24 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2347
436.5 IPS |
|
|
Image Classification (HP)
|
100% |
3719
691.5 IPS |
|
|
Image Classification (Q)
|
96% |
2480
463.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2147
34.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3026
49.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3435
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10774
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
19592
22.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
16886
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
2681
212.7 IPS |
|
|
Object Detection (HP)
|
97% |
4184
333.1 IPS |
|
|
Object Detection (Q)
|
94% |
2866
228.5 IPS |
|
|
Face Detection (SP)
|
100% |
4711
56.0 IPS |
|
|
Face Detection (HP)
|
100% |
8488
100.9 IPS |
|
|
Face Detection (Q)
|
100% |
4511
53.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8512
65.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
14231
110.0 IPS |
|
|
Depth Estimation (Q)
|
86% |
10175
79.4 IPS |
|
|
Style Transfer (SP)
|
100% |
24901
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
38165
49.1 IPS |
|
|
Style Transfer (Q)
|
96% |
31711
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5738
211.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5020
185.4 IPS |
|
|
Text Classification (SP)
|
100% |
3268
4.36 KIPS |
|
|
Text Classification (HP)
|
99% |
6227
8.31 KIPS |
|
|
Text Classification (Q)
|
93% |
6151
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5280
91.0 IPS |
|
|
Machine Translation (HP)
|
98% |
9295
160.6 IPS |
|
|
Machine Translation (Q)
|
98% |
9621
166.3 IPS |
