iPad (8th generation)
Geekbench AI Score
599
Single Precision Score
997
Half Precision Score
908
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | January 01 2025 08:13 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A12 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.2 |
| Model | iPad (8th generation) |
| Model ID | iPad11,6 |
| Motherboard | J171aAP |
| CPU Information | |
|---|---|
| Name | Apple A12 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 2.49 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 2.88 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
370
68.9 IPS |
|
|
Image Classification (HP)
|
100% |
612
113.9 IPS |
|
|
Image Classification (Q)
|
96% |
508
94.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
368
5.97 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
731
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1027
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
962
1.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
937
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (HP)
|
99% |
656
52.1 IPS |
|
|
Object Detection (Q)
|
92% |
539
43.0 IPS |
|
|
Face Detection (SP)
|
100% |
838
9.95 IPS |
|
|
Face Detection (HP)
|
100% |
1752
20.8 IPS |
|
|
Face Detection (Q)
|
100% |
1129
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
822
6.33 IPS |
|
|
Depth Estimation (HP)
|
98% |
1479
11.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
1362
10.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2121
2.73 IPS |
|
|
Style Transfer (HP)
|
100% |
3579
4.60 IPS |
|
|
Style Transfer (Q)
|
96% |
3538
4.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
579
21.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
704
26.0 IPS |
|
|
Text Classification (SP)
|
100% |
283
377.6 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.0 IPS |
|
|
Text Classification (Q)
|
93% |
558
748.5 IPS |
|
|
Machine Translation (SP)
|
100% |
562
9.69 IPS |
|
|
Machine Translation (HP)
|
98% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
98% |
953
16.5 IPS |
