iPhone18,1
Geekbench AI Score
4924
Single Precision Score
35981
Half Precision Score
49352
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | December 17 2025 03:17 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.3 |
| Model | iPhone18,1 |
| Model ID | iPhone18,1 |
| Motherboard | V53AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 4.08 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 11.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2234
415.5 IPS |
|
|
Image Classification (HP)
|
100% |
16827
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
22168
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2068
33.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19747
320.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
25242
409.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
9527
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
145261
169.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
275698
323.1 IPS |
|
|
Object Detection (SP)
|
100% |
2478
196.6 IPS |
|
|
Object Detection (HP)
|
100% |
17774
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
24569
1.96 KIPS |
|
|
Face Detection (SP)
|
100% |
4163
49.5 IPS |
|
|
Face Detection (HP)
|
100% |
40707
483.7 IPS |
|
|
Face Detection (Q)
|
100% |
58565
695.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
8145
62.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
103529
797.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
170523
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23271
29.9 IPS |
|
|
Style Transfer (HP)
|
100% |
252162
324.2 IPS |
|
|
Style Transfer (Q)
|
96% |
341717
441.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5208
192.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56196
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84052
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3484
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
6393
8.53 KIPS |
|
|
Text Classification (Q)
|
93% |
6437
8.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
5372
92.5 IPS |
|
|
Machine Translation (HP)
|
100% |
11105
191.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12248
211.7 IPS |
