iPhone18,1
Geekbench AI Score
4998
Single Precision Score
36131
Half Precision Score
49278
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | 2048 |
| Upload Date | September 20 2025 10:39 AM |
| Views | 5 |
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 | 4.26 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2325
432.4 IPS |
|
|
Image Classification (HP)
|
100% |
15961
2.97 KIPS |
|
|
Image Classification (Q)
|
97% |
22577
4.21 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2137
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
19928
323.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
26015
421.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9585
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
149921
174.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
276363
323.9 IPS |
|
|
Object Detection (SP)
|
100% |
2560
203.1 IPS |
|
|
Object Detection (HP)
|
100% |
18314
1.45 KIPS |
|
|
Object Detection (Q)
|
91% |
25438
2.03 KIPS |
|
|
Face Detection (SP)
|
100% |
4121
49.0 IPS |
|
|
Face Detection (HP)
|
100% |
40778
484.5 IPS |
|
|
Face Detection (Q)
|
100% |
51972
617.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8341
64.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104278
803.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
163934
1.28 KIPS |
|
|
Style Transfer (SP)
|
100% |
23001
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
258574
332.4 IPS |
|
|
Style Transfer (Q)
|
96% |
350028
451.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5360
197.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55334
2.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85909
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
99% |
6386
8.52 KIPS |
|
|
Text Classification (Q)
|
93% |
6454
8.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
5382
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
11176
192.5 IPS |
|
|
Machine Translation (Q)
|
98% |
12368
213.7 IPS |
