iPad13,18
Geekbench AI Score
2695
Single Precision Score
12511
Half Precision Score
12504
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| User | UvarovAndrey |
| Upload Date | January 01 2025 07:09 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad13,18 |
| Model ID | iPad13,18 |
| Motherboard | J271AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.99 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 3.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1182
219.7 IPS |
|
|
Image Classification (HP)
|
100% |
4119
765.9 IPS |
|
|
Image Classification (Q)
|
96% |
4734
884.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1017
16.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8081
131.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
8827
143.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
5316
6.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
60602
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
59444
69.7 IPS |
|
|
Object Detection (SP)
|
100% |
1305
103.5 IPS |
|
|
Object Detection (HP)
|
99% |
5830
463.8 IPS |
|
|
Object Detection (Q)
|
91% |
5159
412.2 IPS |
|
|
Face Detection (SP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (HP)
|
100% |
13786
163.8 IPS |
|
|
Face Detection (Q)
|
100% |
11912
141.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4925
37.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
39049
300.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
36157
282.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13681
17.6 IPS |
|
|
Style Transfer (HP)
|
100% |
94369
121.3 IPS |
|
|
Style Transfer (Q)
|
96% |
93676
120.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3016
111.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
18537
684.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18515
683.7 IPS |
|
|
Text Classification (SP)
|
100% |
2103
2.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (Q)
|
93% |
2399
3.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
2315
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3762
64.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4070
70.3 IPS |
