iPhone18,1
Geekbench AI Score
4961
Single Precision Score
36275
Half Precision Score
50139
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | M91 |
| Upload Date | November 30 2025 03:00 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.2 |
| 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% |
2276
423.2 IPS |
|
|
Image Classification (HP)
|
100% |
16527
3.07 KIPS |
|
|
Image Classification (Q)
|
97% |
22201
4.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2047
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20163
326.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
25534
413.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
9767
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
151717
177.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
285661
334.8 IPS |
|
|
Object Detection (SP)
|
100% |
2538
201.3 IPS |
|
|
Object Detection (HP)
|
100% |
18050
1.43 KIPS |
|
|
Object Detection (Q)
|
91% |
25842
2.06 KIPS |
|
|
Face Detection (SP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
40746
484.2 IPS |
|
|
Face Detection (Q)
|
100% |
58884
699.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8211
63.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
104318
803.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
169895
1.33 KIPS |
|
|
Style Transfer (SP)
|
100% |
23388
30.1 IPS |
|
|
Style Transfer (HP)
|
100% |
252715
324.9 IPS |
|
|
Style Transfer (Q)
|
96% |
348700
450.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5178
191.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
55521
2.05 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85930
3.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
99% |
6472
8.64 KIPS |
|
|
Text Classification (Q)
|
93% |
6468
8.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
5277
90.9 IPS |
|
|
Machine Translation (HP)
|
100% |
11203
193.0 IPS |
|
|
Machine Translation (Q)
|
98% |
12377
213.9 IPS |
