iPhone18,1
Geekbench AI Score
5202
Single Precision Score
36056
Half Precision Score
49374
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| Upload Date | September 21 2025 01:26 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 4.25 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2362
439.2 IPS |
|
|
Image Classification (HP)
|
100% |
16163
3.01 KIPS |
|
|
Image Classification (Q)
|
97% |
22542
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2127
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20081
325.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
25407
411.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10308
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
152545
178.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
287743
337.3 IPS |
|
|
Object Detection (SP)
|
100% |
2701
214.2 IPS |
|
|
Object Detection (HP)
|
100% |
17250
1.37 KIPS |
|
|
Object Detection (Q)
|
91% |
25350
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4596
54.6 IPS |
|
|
Face Detection (HP)
|
100% |
40780
484.6 IPS |
|
|
Face Detection (Q)
|
100% |
53436
634.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8578
66.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
105031
809.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
163001
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
24614
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258763
332.6 IPS |
|
|
Style Transfer (Q)
|
96% |
350543
452.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5653
208.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56058
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85669
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3580
4.78 KIPS |
|
|
Text Classification (HP)
|
99% |
6355
8.48 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5287
91.1 IPS |
|
|
Machine Translation (HP)
|
100% |
11013
189.7 IPS |
|
|
Machine Translation (Q)
|
98% |
12208
211.0 IPS |
