iPad16,2
Geekbench AI Score
4245
Single Precision Score
4970
Half Precision Score
4434
Quantized Score
Geekbench AI 1.2.0 for iOS AArch64
Result Information
| Upload Date | December 28 2024 12:20 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | ARM |
| System Information | |
|---|---|
| Operating System | iOS 18.3 |
| Model | iPad16,2 |
| Model ID | iPad16,2 |
| Motherboard | J411AP |
| CPU Information | |
|---|---|
| Name | ARM |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 7.73 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1016
188.9 IPS |
|
|
Image Classification (HP)
|
100% |
1436
267.1 IPS |
|
|
Image Classification (Q)
|
97% |
1258
234.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
3128
50.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3468
56.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3450
55.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12596
14.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
13278
15.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
12512
14.7 IPS |
|
|
Object Detection (SP)
|
100% |
1851
146.8 IPS |
|
|
Object Detection (HP)
|
100% |
1808
143.4 IPS |
|
|
Object Detection (Q)
|
91% |
1616
129.1 IPS |
|
|
Face Detection (SP)
|
100% |
4984
59.2 IPS |
|
|
Face Detection (HP)
|
100% |
5773
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
5523
65.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10313
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10976
84.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9518
74.4 IPS |
|
|
Style Transfer (SP)
|
100% |
26871
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
30332
39.0 IPS |
|
|
Style Transfer (Q)
|
96% |
28540
36.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5423
200.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5417
200.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3337
123.2 IPS |
|
|
Text Classification (SP)
|
100% |
3181
4.25 KIPS |
|
|
Text Classification (HP)
|
100% |
5688
7.59 KIPS |
|
|
Text Classification (Q)
|
93% |
5605
7.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1299
22.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1194
20.6 IPS |
