iPhone18,1
Geekbench AI Score
4873
Single Precision Score
35924
Half Precision Score
49148
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | piotrga |
| Upload Date | September 22 2025 07:24 PM |
| Views | 4 |
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% |
2274
422.9 IPS |
|
|
Image Classification (HP)
|
100% |
16473
3.06 KIPS |
|
|
Image Classification (Q)
|
97% |
22423
4.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2107
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19546
316.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
24551
398.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9205
10.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
148277
173.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
269681
316.1 IPS |
|
|
Object Detection (SP)
|
100% |
2451
194.4 IPS |
|
|
Object Detection (HP)
|
100% |
17510
1.39 KIPS |
|
|
Object Detection (Q)
|
91% |
25620
2.05 KIPS |
|
|
Face Detection (SP)
|
100% |
4236
50.3 IPS |
|
|
Face Detection (HP)
|
100% |
40824
485.1 IPS |
|
|
Face Detection (Q)
|
100% |
56137
667.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8175
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103019
793.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
162034
1.27 KIPS |
|
|
Style Transfer (SP)
|
100% |
23054
29.6 IPS |
|
|
Style Transfer (HP)
|
100% |
248835
319.9 IPS |
|
|
Style Transfer (Q)
|
96% |
350670
452.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5221
192.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56139
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85125
3.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3485
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6509
8.69 KIPS |
|
|
Text Classification (Q)
|
93% |
6461
8.67 KIPS |
|
|
Machine Translation (SP)
|
100% |
4817
83.0 IPS |
|
|
Machine Translation (HP)
|
100% |
11199
192.9 IPS |
|
|
Machine Translation (Q)
|
98% |
12325
213.0 IPS |
