iPad13,18
Geekbench AI Score
2490
Single Precision Score
2851
Half Precision Score
2506
Quantized Score
Geekbench AI 1.1.0 for iOS AArch64
Result Information
| Upload Date | September 18 2024 07:27 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.0 |
| 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% |
1097
204.0 IPS |
|
|
Image Classification (HP)
|
100% |
1068
198.6 IPS |
|
|
Image Classification (Q)
|
97% |
927
173.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1297
21.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1567
25.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
1598
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6149
7.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
8288
9.67 IPS |
|
|
Pose Estimation (Q)
|
95% |
7342
8.60 IPS |
|
|
Object Detection (SP)
|
100% |
1248
99.0 IPS |
|
|
Object Detection (HP)
|
100% |
1273
101.0 IPS |
|
|
Object Detection (Q)
|
91% |
1035
82.7 IPS |
|
|
Face Detection (SP)
|
100% |
3352
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
3816
45.3 IPS |
|
|
Face Detection (Q)
|
100% |
2721
32.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
4908
37.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
5521
42.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
4536
35.5 IPS |
|
|
Style Transfer (SP)
|
100% |
13331
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
13691
17.6 IPS |
|
|
Style Transfer (Q)
|
96% |
12804
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2849
105.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3019
111.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2476
91.4 IPS |
|
|
Text Classification (SP)
|
100% |
2080
2.78 KIPS |
|
|
Text Classification (HP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (Q)
|
93% |
3498
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.2 IPS |
|
|
Machine Translation (Q)
|
98% |
634
11.0 IPS |
