iPhone18,2
Geekbench AI Score
5131
Single Precision Score
36268
Half Precision Score
49225
Quantized Score
Geekbench AI 1.5.0 for iOS AArch64
Result Information
| User | pythagoras |
| Upload Date | September 22 2025 04:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 26.0 |
| Model | iPhone18,2 |
| Model ID | iPhone18,2 |
| Motherboard | V54AP |
| 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 | 11.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2359
438.7 IPS |
|
|
Image Classification (HP)
|
100% |
16150
3.00 KIPS |
|
|
Image Classification (Q)
|
97% |
22102
4.12 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2135
34.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
20514
332.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24654
399.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10005
11.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
153330
178.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
285192
334.3 IPS |
|
|
Object Detection (SP)
|
100% |
2631
208.7 IPS |
|
|
Object Detection (HP)
|
100% |
17424
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
25471
2.04 KIPS |
|
|
Face Detection (SP)
|
100% |
4501
53.5 IPS |
|
|
Face Detection (HP)
|
100% |
40434
480.4 IPS |
|
|
Face Detection (Q)
|
100% |
52362
622.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
8433
65.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
104994
808.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
167788
1.31 KIPS |
|
|
Style Transfer (SP)
|
100% |
24193
31.1 IPS |
|
|
Style Transfer (HP)
|
100% |
258310
332.1 IPS |
|
|
Style Transfer (Q)
|
96% |
350708
452.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5636
208.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57924
2.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
85592
3.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3551
4.74 KIPS |
|
|
Text Classification (HP)
|
99% |
6374
8.51 KIPS |
|
|
Text Classification (Q)
|
93% |
6369
8.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
5198
89.5 IPS |
|
|
Machine Translation (HP)
|
100% |
10988
189.3 IPS |
|
|
Machine Translation (Q)
|
98% |
12565
217.1 IPS |
